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AIAA 94-3210 Supersonic Flight Test Results of a Performance Seeking Control Algorithm on a NASA F-15 Aircraft John S. Orme and Timothy R. Conners NASA Dryden Flight Research Center Edwards, California 30th AIAA/ASME/SAE/ASEE Joint Propulsion Conference June 27–29, 1994 / Indianapolis, IN For permission to copy or republish, contact the American Institute of Aeronautics and Astronautics, 1801 Alexander Bell Drive, Suite 500, Reston, Virginia 22091.

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For permission to copy or republish, contact the American Institute of Aeronautics and Astronautics 370 L'Enfant Promenade, S.W., Washington, D.C. 20024

AIAA 94-3210

Supersonic Flight Test Results of aPerformance Seeking Control Algorithm on a NASA F-15 Aircraft

John S. Orme and Timothy R. ConnersNASA Dryden Flight Research CenterEdwards, California

30th AIAA/ASME/SAE/ASEE JointPropulsion Conference

June 27–29, 1994 / Indianapolis, IN

For permission to copy or republish, contact the American Institute of Aeronautics and Astronautics,1801 Alexander Bell Drive, Suite 500, Reston, Virginia 22091.

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SUPERSONIC FLIGHT TEST RESULTS OF APERFORMANCE SEEKING CONTROL ALGORITHM

ON A NASA F-15 AIRCRAFT

John S. Orme* and Timothy R. Conners**

NASA Dryden Flight Research CenterP.O. Box 273

Edwards, California 93523-0273

Abstract

A model-based, adaptive control algorithm called Per-formance Seeking Control (PSC) has been flight tested onan F-15 aircraft. The algorithm attempts to optimize per-formance of the integrated propulsion system duringsteady-state engine operation. The final phase of a 3-yearPSC flight test program is described in this paper. Previousstudies of use of PSC on the F-15 airplane show improve-ment in propulsion system performance. Because thesestudies were conducted using one of two F-15 engines, thefull effect on aircraft performance was not measured. Dur-ing the most recent studies, both engines were optimizedto demonstrate the full effect of PSC propulsion systemoptimization on aircraft performance. Results were gath-ered over the 1-g supersonic envelope demonstrating bene-fits of the integrated control approach. Quantitative flightresults illustrating the PSC method for deriving benefitsfrom the F-15 integrated propulsion system for Machnumbers up to 2 are also presented.

Nomenclature

A/B afterburner

ADECS advanced engine control system

AJ nozzle throat area, in2

CDP component deviation parameters

CIVV compressor inlet variable guide vane angle, deg

DEEC digital electronic engine control

*Aerospace Engineer. Member AIAA.**Aerospace Engineer.

Copyright © 1994 by the American Institute of Aeronautics and Astro-nautics, Inc. No copyright is asserted in the United States under Title 17,U.S. Code. The U.S. Government has a royalty-free license to exercise allrights under the copyright claimed herein for Governmental purposes. Allother rights are reserved by the copyright owner.

EAIC electronic air inlet controller

EPR engine pressure ratio, PT6/PT2

FNP net propulsive force, lbf

FTIT fan turbine inlet temperature, °R

HIDEC Highly Integrated Digital Electronic Control

hc capture height, ft

Kf Kalman filter

MDA McDonnell Douglas Aerospace, St. Louis, Missouri

NASA National Aeronautics and Space Administration

N1 fan speed, rpm

N1C2 fan rotor speed, corrected to engine face, rpm

N2 high pressure compressor speed, rpm

PB burner pressure, lb/in2

PLA power level angle, deg

PSC Performance Seeking Control

PS2 engine face static pressure, lb/in2

PT2 engine face total pressure, lb/in2

PT6 augmentor total pressure, lb/in2

RCVV rear compressor variable guide vane angle, deg

RDM rapid deceleration mode

TSFC thrust-specific fuel consumption, pph/lbf

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TT2 engine face total temperature, °R

VMS vehicle management system

WF core fuel flow, lb/hr

WFAB afterburner fuel flow, lb/hr

Y perpendicular distance the third inlet shock stands from the cowl lip, ft

Prefix

∆ difference

Introduction

Future commercial transports will often fly missionswith long cruise legs. Overall system performance will beboosted by using advanced technologies from differentdisciplines. In the controls field, integration between thepropulsion system and the airframe will make significantcontributions, particularly for a supersonic transport.Adaptive control is one method of increasing performanceof an existing system by reconfiguring the aircraft andpropulsion system control effectors. In this manner, air-craft performance may be improved solely by adding con-trol logic.

Digital flight controls, engine controls, and onboardcomputers allow sophisticated control techniques to beapplied to today’s advanced aircraft. NASA used one suchaircraft, the F-15 Highly Integrated Digital ElectronicControl (HIDEC), to explore the potential of such capabil-ities through flight test application. The integration ofengine and airframe control has been the primary objectiveof the HIDEC program for the last decade. Testing of theAdvanced Engine Control System (ADECS) on the F-15HIDEC demonstrated the advantages of digitally inte-grated engine and airframe control.1 The ADECS usedflight control information to uptrim the engine pressureratio (EPR) for improved engine performance. Maximumperformance EPR trims are preprogrammed into onboardschedules. These schedules are developed for the nominal,or average, engine and airframe.

The Performance Seeking Control (PSC) improvesupon the ADECS by applying real-time adaptation to theflight-measured article instead of to the nominal engineand airframe.2, 3 The PSC incorporates inlet, nozzle, stabi-lator, and adaptive engine models. A Kalman filter (Kf)estimates component deviation parameters (CDP) andprovides the primary adaptive feature of the PSC algo-rithm. The CDP represent the differences between theonboard engine model outputs and measurements. TheCDP update the baseline engine model to produce a modelthat more closely reflects the measured engine perfor-mance. Onboard optimization logic searches the models

for optimal trim conditions then applies those trims to theengine and airframe system.

Flight testing of the PSC algorithm has been concludedat NASA Dryden Flight Research Center (NASA Dryden).These tests included all of the PSC optimization modesthroughout the Mach number and altitude envelope andthrottle range. The different optimization modes weredemonstrated for single-engine application in subsonicand supersonic flight testing and produced overall engineperformance improvements.4–9 At supersonic conditions,the PSC law optimizes the integrated inlet, stabilator, andengine. For subsonic flight conditions, only the engine isoptimized. The stabilator is controlled indirectly throughthe aircraft pitch rate feedback to offset any disturbancescaused by trimming the inlets. Supersonic PSC hasincreased complexity because controls for the inlet shocks,afterburner, and aircraft stabilator are included. Prelimi-nary analyses show that supersonic PSC realizes perfor-mance improvements equal to or greater than thoseachieved subsonically, especially in the minimum fuelmode.9

The last series of flight tests concentrated on the dual-engine application of PSC at supersonic flight conditions.Aircraft performance improvements are directly measur-able with dual-engine PSC optimization. Previousresearch into use of the dual-engine application indicateslarge benefits in three of the PSC modes and improvedacceleration performance.10 The new rapid decelerationmode (RDM) was also flight tested for the first time. Thispaper presents quantitative flight results illustrating PSC-derived benefits for propulsion system and aircraft perfor-mance for Mach numbers up to 2.

Aircraft Description

The PSC program was implemented on the NASA F-15research aircraft (fig. 1). This modified high-performancefighter aircraft can achieve speeds in excess of Mach 2.The F-15 aircraft is powered by two F100-derivative after-burning turbofan engines that are given the designation ofPW1128 (Pratt & Whitney, West Palm Beach, Florida).The aircraft has been modified with a digital electronicflight control system and is completely instrumented forflight test. Additional information on the F-15 aircraft haspreviously been reported.11, 12

A vehicle management system (VMS) computer, withthree channels and three processors per channel, indepen-dently hosts the standard F-15 flight control laws and thePSC logic. The VMS computer communicates with otheronboard computers through a MIL-STD-1553A multi-plexer data bus.10 The PSC trims are calculated in theVMS computer and transmitted to the engine and inletcontrollers through a digital interface and bus control unit.The pilot makes inputs to configure the PSC algorithm and

2

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Figure 1. The NASA F-15 research aircraft.

selects various performance optimization modes using acockpit control and display panel interface.

Engine Description

The PW1128 engine is a 28,000 lbf thrust class low-bypass ratio, twin spool, afterburning turbofan technologydemonstrator, derived from the F100-PW-100 engine.7

Control effectors include compressor inlet variable guidevane angle, CIVV; rear compressor variable guide vaneangle, RCVV; core fuel flow, WF; afterburner fuel flow,WFAB; augmentor segment selector valve position; andnozzle throat area, AJ. The sensed parameters consist offan speed, N1; high-pressure compressor speed, N2;engine face total temperature, TT2; fan turbine inlet tem-perature, FTIT; engine face static pressure, PS2; burnerpressure, PB; and augmentor total pressure, PT6.

Figure 2 shows the F100 engine and the locations of itsprimary instrumentation sensors. The engine is controlledby a full-authority digital electronic engine control(DEEC) system that is similar to the current productionF100-PW-220 engine controller. The DEEC controls thefan operating point to provide a high level of thrust whileit maintains a conservative fan stall margin and avoids themaximum FTIT limit. The DEEC maintains the desiredfan operating point by controlling corrected fan speed with

WF and by controlling EPR with AJ. The DEEC is modi-fied to accept PSC-commanded inputs.

The DEEC uses control schedules designed to maintainadequate stability for worst-case conditions. To accommo-date a worst-case condition, a conservative amount of fanstall margin is required at all times. However, for the F100engine, the maximum level of fan efficiency typicallyoccurs well above the nominal operating line and near thefan stall line. Thus, the designed-in stability buffer thatassures stable engine operation for worst-case conditionsalso inhibits more efficient operation.

Figure 3 shows a breakdown of contributions to the fanstall margin audit with and without PSC. Allowances fordetermining the minimum allowable stall margin are givenfor engine-to-engine and control tolerance variations orrandom effects, Reynolds number effects, worst-case inletdistortion, and afterburner transients. Because PSC wasdesigned to operate in quasi-steady-state flight conditionswith fixed throttles, the inlet distortion contribution to thestall margin audit is reduced, and the afterburner transientseffect may be ignored completely. The PSC also activelycalculates the location of the fan stall line with an on-lineadaptive airflow estimate. By improving upon the DEECairflow calculation and restricting maneuver and throttle toquasi-steady-state conditions, the PSC design takesadvantage of the excess stall margin. Thus, the minimum

3

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Figure 2. The F100 engine and instrumentation.

Nozzle7

PSC– controlled variables

AfterburnerLow-pressure turbine

64.54

High-pressure turbine

CombusterCompressor

FanStation

numbers

32.52

DEEC sensorsPS2 TT2 N1 N2 PB FTIT PT6

CIVV RCVV WF WFAB AJ

940235

Figure 3. Relative fan stall margin audit with and without performance seeking control. Audit varies with power levelangle and flight condition.

Random

Reynolds number

Worst-case distortion

A /B transients

Stall margin remaining

Random

Minimum distortion

Stall margin remaining

With PSCWithout PSC

Fan stall margin, percent

Nominal minimum allowable stall

margin

PSC minimum allowable stall

margin

Excess stall margin

940198

Reynolds number

allowable stall margin is less than that of the DEEC whenPSC is used.

Variable Geometry Inlet

The F-15 aircraft has two two-dimensional, three-ramp,external compression inlets which supply airflow to the

PW1128 engines (fig. 4). For supersonic operation, com-pression is accomplished through three oblique shocks andone terminal normal shock. The F-15 aircraft has two elec-tronic air inlet controllers (EAICs) to control the inlet vari-able geometry. The inlet control logic positions the cowland third ramp to achieve adequate performance whilemaintaining safe operating margins. An inlet delivers high

4

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Figure 4. The F-15 variable geometry inlet.

Engine face

Third ramp deflection

Cowl deflection

930064

Oblique shock

Normal shock

Cowl lip

Y

hc

Shock displacement ratio =Y

hc

Y = Perpendicular distance the third shock stands from the cowl lip

hc = Capture height

performance when it provides for high-pressure recoveryat the engine face, low airflow spillage drag, and minimumstabilator trim drag. Because the inlet is located wellahead of the center of gravity, variation in cowl positionwill cause a pitching moment which will be counteractedby the horizontal stabilator. Thus, the inlet is an integratedeffector that couples propulsive and aerodynamic systemperformance. The EAIC maintains inlet stability marginsby using conservative schedules to avoid encounteringinlet buzz and supercritical operation. Inlet buzz is prima-rily a high-distortion phenomenon that occurs at low air-flows. Supercritical operation occurs when the obliqueshocks terminate inside of the inlet lip, and the normalshock is ingested beyond the inlet throat.

PSC Algorithm Overview

The PSC, as developed by McDonnell Douglas Aero-space (MDA), St. Louis, Missouri, and installed on theNASA F-15 HIDEC, is a model-based, adaptive algorithmthat optimizes the propulsion system during quasi-steady-state operation in real-time. Information available from theonboard digital computers, such as airdata, flight controlparameters, and engine measurements, is shared with thePSC software. Basically, the algorithm consists of an esti-mation routine to update propulsion models and an optimi-zation routine to optimize model–predicted performance.After optimizing the models, optimal trims are applied tothe propulsion system in an open-loop manner.

Figure 5 shows the three major algorithm elements asthey reside in the VMS computer. These elements include

the identification, modeling, and optimization compo-nents. The entire PSC algorithm is duplicated for left andright propulsion systems. No cross-communication existsbetween the model, identification, or optimizationcomponents. Thus, either engine is optimized indepen-dently of the other engine. The PSC trims are applied tothe propulsion system approximately 5 times/sec subsoni-cally and 2 times/sec supersonically. The reduced trimapplication time during supersonic operation results fromthe inclusion of the large inlet model. Detailed descrip-tions of the PSC algorithm have been reported.2, 5, 8

Selected aspects are described in the followingsubsections.

Identification

A Kalman filter (Kf) provides real-time algorithmadaptability for off-nominal engine performance. Off-nominal engine performance relates to the differencebetween model outputs and engine measurements. Tocharacterize these differences, the Kf identifies five CDPthat represent deviations from nominal engine operation.These CDP include efficiencies for the low- and high-pres-sure turbine spools, incremental airflows for the low- andhigh-pressure compressors, and effective gas path flowarea through the high-pressure turbine.13 A separate Kf ismaintained for the left and right engines, so correctionsmay be made for known measurement biases particular toeach engine. Input to the Kf was constrained to standardDEEC measurements.

The CDP comprise a set of intermediate variablespassed to the PSC integrated system model. The integrated

5

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Figure 5. Performance seeking control algorithm.

Integrated system modeling

Inlet parameters

Engine parameters

Optimization

Real-time on-line optimization for thrust,

fuel flow, engine life

Aircraft and flight control parameters

835

940236

F-15 HIDEC

Horizontal tail

∆ Airflow ∆ Fan speed ∆ Fan vane position∆ Core vane position ∆ Afterburner fuel flow ∆ Nozzle position ∆ Engine pressure ratio

∆ Cowl

∆ Third ramp

Inlet/horizontal tail model

Nozzle model

Compact engine model

Real-time parameter identification (Kalman filter)

Identification

Dynamic engine model

Digital flight control

Digital inlet control

Component deviation

parameters

Digital engine control

system model operation is incrementally adjusted with theCDP to more accurately match measured engine opera-tion. This adaptive feature allows for the PSC optimizationto be applied to any F100 engine independent of its stateof degradation.

The CDP for the nominal engine are zero by definition.Engine efficiency is not the only influence on the CDP.The CDP are sensitive to any measured difference fromthe nominal engine, including engine-to-engine variations,engine deterioration, measurement bias, and Reynoldsnumber effects.4 Because of an observability limitationwithin the Kf, the influence of any single effect on theCDP can not be identified.14 This weakness is related tothe limited number of measurements available from thestandard DEEC and the number of CDP being estimated.

Modeling

The integrated system model consists of compact mod-els for the engine, nozzle, and inlet. The engine modelconsists of a linear steady-state variable model and nonlin-ear model routines for effects which can not be accuratelyrepresented with the linear model, such as fan stall margin.The nozzle and inlet also use nonlinear models. With mea-surements and CDP as input, the models predict the cur-rent state and performance of the propulsion system. The

models estimate propulsion system parameters that are notdirectly measurable, such as nozzle exhaust temperature,fan stall margin, percentage critical inlet mass flow, andnet propulsive force, FNP. The integrated system modelgenerates a linear propulsion system representation aroundthe operating point. This linear model is needed by theoptimization logic to determine system sensitivities tocontrol inputs. A detailed description of the PSC compactmodels has previously been reported.5, 9

The optimization logic requires sensitivity informationabout the propulsion system. Within the algorithm, controlvariables are perturbed by the optimization logic andreturned as input to the integrated system model to deter-mine airframe and propulsion system sensitivities. Anoptimal control trim set is then determined based upon themodeled sensitivities, the constraints, and a performanceindex. Next, this trim set is sent to the actual inlet, nozzle,and engine. Thus, the optimal trim commands applied tothe real propulsion system are based upon an optimizationof the integrated system model.

Optimization

The optimization logic employs a linear programmingtechnique to optimize the integrated system model. Fouroptimization modes are pilot selectable: minimum fuel at

6

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constant thrust, maximum thrust, minimum turbine tem-perature at constant thrust, and rapid deceleration. Perfor-mance index and equality constraint are different for eachmode. The performance indices for the four modes aretotal engine fuel flow, FNP, FTIT, and FNP, respectively.The maximum thrust mode attempts to maximize FNP,whereas the RDM attempts to minimize FNP. The maxi-mum thrust mode and RDM do not include equality con-straints. The minimum fuel and minimum turbinetemperature modes are constrained to maintain a constantlevel of FNP. The controls available to the optimizationlogic for trimming include inlet cowl and third rampangles, engine airflow, fan speed, fan and core variablevane angles, engine exhaust nozzle area, EPR, and WFAB.

To create the new RDM, only minor modifications tothe optimization logic of the PSC algorithm were made.The two most significant additions involved a new perfor-mance index, the negative sign of FNP, and a minimumairflow constraint based on a newly defined inlet buzzboundary.

Flight Test Program

The initial supersonic PSC flight test program was con-ducted at NASA Dryden during 1992. Objectives includedalgorithm validation and single-engine demonstration ofPSC in the F-15 supersonic flight envelope. Following theinitial supersonic flight tests, the PSC algorithm was mod-ified to optimize two engines simultaneously. The nextphase of flights, known as the dual-engine supersonic PSCphase, demonstrated the effects of the PSC maximumthrust mode optimization on aircraft acceleration perfor-mance, the ability of the PSC to optimize two propulsionsystems simultaneously, and the validation of the newRDM. The minimum fuel and turbine temperature modeswere also tested with the dual-engine PSC.

Aircraft Acceleration Time Correction

One method used to evaluate the operation of PSC was acomparison of F-15 level acceleration times with andwithout PSC engaged for each mode. Using the maximumthrust mode, a significant increase in aircraft accelerationwas expected. Acceleration times were expected to beunaffected by the minimum fuel and turbine temperaturemodes because those modes attempt to maintain the base-line FNP. However, several factors complicated thecomparison of similar PSC-disengaged or -engaged accel-eration test points.

Related PSC test points were often flown in sets of two.Because of the high rate of fuel consumption during amaximum augmented power acceleration, a large aircraftmass differential usually occurred at the start of eachacceleration. The resulting inertia effects were corre-spondingly large. Mass-related aircraft trim drag differ-ences were also significant.

7

Similar test points were normally flown on the sameflight through the same air mass at an equivalent altitude toreduce the influences of changing atmospheric conditionson propulsion system operation and aircraft drag. Some-times, flying related test points in sequence or even on thesame day was not possible. This situation led to inevitablylarge atmospheric differences at the same altitude. Furtherdiscrepancies resulted from instances where the pilot wasunable to maintain the same altitude that was flown duringthe first test point.

These differences in aircraft mass and atmospheric con-ditions made the comparison of acceleration timesbetween related test points qualitative at best. To obtainquantitative data, a computer program was written thatcorrected the time-to-accelerate data from one test point tothe mass, aircraft drag, and atmospheric conditions of asecond, similar acceleration. A PW1128 quasi-steady-stateaerothermodynamic engine model was used to correct forthe effects of differences in atmospheric conditions onexcess thrust. Meanwhile, a simplified performance modelof the F-15 aircraft was used to accommodate changes inaircraft drag resulting from differences in altitude and air-craft mass.

To simplify the coding, the program did not account forpotential energy effects resulting from altitude changes.The pilot normally flew the accelerations using an inertialflightpath reference on the head-up display, so the majorityof test points had reproducible, relatively constant altitudeprofiles.

During the dual-engine PSC test phase, 5 accelerationsat an altitude of 30,000 ft and 4 accelerations at an altitudeof 45,000 ft were flown with PSC disengaged. BecausePSC trims were not sent to the engines and inlets, theoreti-cally the accelerations at the same altitude would overlayone another once corrected for mass and atmospheric dif-ferences. This theory was investigated to verify the properoperation of the correction code, and the correctionprogram performed well. At an altitude of 45,000 ft, therewas a 24.4 percent (34.1 sec) variation in the time toaccelerate from Mach 0.8 to Mach 2 before correction, andonly 1.4 percent (1.9 sec) afterwards. At an altitude of30,000 ft, the variation was 15.8 percent (14.1 sec) beforeand 3.4 percent (3.0 sec) after correction from Mach 0.6 toMach 1.6.

The test points presented later in this paper were flownback-to-back through the same air mass, essentially elimi-nating the correction errors associated with atmosphericdeviations. Thus, the program corrected mainly for inertiaeffects for these points. As such, the error bands associatedwith the corrected time-to-accelerate data presented latershould be less than 1.4 percent at an altitude of 45,000 ftand 3.4 percent at an altitude of 30,000 ft.

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Results and Discussion

Test results of using the maximum thrust, minimumfuel, minimum turbine temperature, and rapid decelerationmodes are discussed in the following subsections. Themaneuvers were designed to evaluate PSC system opera-tion and overall performance benefits.

Maximum Thrust Mode

The PSC maximum thrust mode improves aircraft accel-eration performance by maximizing FNP or, equivalently,the combined quantity of engine net thrust less propul-sion-related drag. Net thrust increases come primarilyfrom the ability to operate the inlet and engine closer tooperating limits and optimum conditions. For instance, theminimum operating limits for fan stall margin (fig. 3) andinlet shock displacement ratio are lower when PSC isapplied. Propulsion-related drag, as accounted for in thePSC models, includes incremental drag caused by off-schedule inlets, nozzles, and stabilator. Reductions in dragcome from model predictions of where the local minimumlies. In general, net thrust increases contribute more to thePSC maximum thrust mode than trim drag reductions do.The mode engages at either a military-rated or a maximumafterburner (A/B) power setting.

Figure 6 presents results from a single test point demon-stration of the PSC maximum thrust mode. Comparisondata of two accelerations performed at an altitude of45,000 ft from Mach 0.9 to Mach 2 with and without useof the PSC maximum thrust mode are plotted. The runs

8

(a) Acceleration time with and with

Figure 6. Maximum thrust mode evaluation for a maximum a

0 50

1.0

1.5

2.0

Mach number

Off On

PSC

were completed back-to-back and through the same airmass to minimize the effects of such outside influences onthe experiment as atmospheric deviations. To further pro-duce a valid comparison, the acceleration times were cor-rected for weight and temperature differences. With PSCengaged, the acceleration time was reduced by 14.8 sec or8.5 percent from the baseline acceleration time (fig. 6(a)).

Figure 6(b) shows the percentage difference in FNPbetween the runs with and without PSC for the left andright engines. The FNP gains trend from near 10 percentsubsonically to 2 percent or less in the mid-supersonicrange. Approaching the Mach 2 condition, FNP gainsincrease to approximately 6 percent.

The manner in which the engines are optimized over theMach 0.9 to Mach 2 range is typical for the maximumthrust mode. Figures 6(c) and 6(d) show the primaryengine controls, EPR and airflow. For the subsonic andsupersonic region below Mach 1.8, the EPR trims greatlycontribute to increasing FNP. Above Mach 1.8, airflowuptrims command the majority of the FNP increase. Sub-sonically, the engine is driven to the minimum allowablefan stall margin. Supersonically, the inlets are driven to themaximum allowable airflow. In addition, PSC trims causedthe FTIT to operate at its maximum limit for the entireacceleration. The differences in FNP increases betweenthe left and right engines may be explained by the fact thatthe right engine nominally operates closer to the maximumFTIT. Thus, less FTIT margin exists to be used forincreased FNP.

out performance seeking control.

fterburner acceleration at an altitude of 45,000 ft.

100 150Time, sec

940199

200

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(b) Percentage of net propulsive force increase with performance seeking control.

(c) Left engine pressure ratio comparison with and without performance seeking control.

Figure 6. Continued.

1.0 1.2 1.6 1.8Mach number

0

6

12

∆FNP, percent

Left Right

940200

1.4 2.0

10

8

4

2

– 2

1.0 1.2 1.6 1.8Mach number

2.0

3.0

4.0

EPR, PT6/PT2

940201

1.4 2.0

3.5

2.5

1.5

Off On

PSC

9

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(d) Left engine afterflow comparison with and without performance seeking control.

Figure 6. Concluded.

1.0 1.2 1.6 1.8Mach number

260

Airflow, pps

940202

1.4 2.0

240

220

200

180

Off On

PSC

Minimum Fuel Mode

The PSC minimum fuel mode effectively optimizesthrust-specific fuel consumption, TSFC, by minimizingcore and afterburner engine fuel flow while maintainingFNP. Supersonically, the two ways by which PSC achieveslower TSFC are by either lessening the net thrust requiredfor level cruise or by trading fuel flow between the moreefficient engine core and the less efficient afterburner. Astrim drag is reduced, so is the net thrust requirement. Thisreduction allows for a cutback in total engine fuel flow.However, in all cases, the primary benefits of the mini-mum fuel mode have been observed to be from the trade-off between WF and WFAB. This result is not surprisinggiven that the engine core is significantly more efficientthan the afterburner in converting fuel flow into thrust. Theafterburner may be downtrimmed by increasing the netthrust produced by the engine core. This core net thrust isderived primarily by adding fuel. To a lesser degree, netthrust increases can also be obtained by trimming the vari-able vanes and inlet ramps. This mode is operational forany fixed throttle position.

A cruise test of the minimum fuel mode was conductedat an altitude of 30,000 ft and at Mach 1.5. Figures 7(a)and 7(b) show time histories of left and right engine FNPand TSFC. The PSC optimization was engaged after 24sec of comparison data were collected. The left and rightengines were closely matched in FNP and TSFC for theduration of the test. At approximately 65 sec, PSC com-manded a sharp reduction in right engine WFAB. Thisreduction is evident in the FNP and TSFC traces, but the

FNP is recaptured rapidly. In addition, steady-state isattained for approximately 10 sec before the end of thecruise test. Based on the 24 sec period before engagingPSC and the final 10 sec of steady-state data, left engineTSFC was reduced by approximately 9.2 percent, andright engine TSFC decreased by 9.5 percent.

Figures 7(c) and 7(d) show the dramatic comparison ofthe engine core to afterburner fuel flows. For the leftengine, WF is uptrimmed by just 680 pph, which allowsthe WFAB to be cut by 3230 pph. The right engine fuelflow is trimmed in the same manner. The right engine tran-sient at 65 sec is evident in the WFAB trace, indicating thatan afterburner segment was shut off.

Minimum Turbine Temperature Mode

The PSC minimum turbine temperature mode mini-mizes the measured FTIT while maintaining FNP. TheFTIT is primarily affected by WF and TT2. In turn, theTT2 depends on flight condition. Because PSC does notcontrol flight condition, the WF is the only primary con-trol. In general, WF is directly proportional to the turbinetemperature. Thus, at a fixed flight condition, the PSCminimum turbine temperature mode downtrims WF toachieve a cooler turbine. However, reducing WF causesnet thrust to be lost. To compensate for this loss, PSCadjusts the inlet and nozzle to reduce propulsion-relatedtrim drag, effectively decreasing the power required forlevel cruise flight. This mode operates at all throttle set-tings. However, unlike the minimum fuel mode, the mini-mum turbine temperature mode does not command WFAB.

10

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1

(a) Net propulsive force.

(b) Thrust-specific fuel consumption.

Figure 7. Minimum fuel mode test results for a partial afterburner cruise at Mach 1.5 and an altitude of 30,000 ft.

PSC off PSC on

0 20 60Time, sec

15.0 x 103

FNP, lbf

940203

40 80

14.5

14.0

13.5

13.0

Left Right

PSC off PSC on

0 20 60Time, sec

TSFC, pph/lbf

940204

40 80

2.0

1.9

1.8

1.7

Left Right

1

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(c) Engine core fuel flow.

(d) Afterburner fuel flow.

Figure 7. Concluded.

PSC off PSC on

0 20 60Time, sec

WF, pph

940205

40 80

10.0 x 103

9.5

9.0

8.0

Left Right

8.5

PSC off PSC on

0 20 60Time, sec

WFAB, pph

940206

40 80

19 x 103

17

15

13

Left Right

18

16

14

The minimum turbine temperature mode was tested dur-ing a supersonic cruise at an altitude of 40,000 ft with par-tial afterburner power at Mach 1.8. Figure 8(a) shows that21 sec of comparison data were collected before PSC wasengaged. Upon engaging PSC, the optimization logic sets

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a reference value of FNP to be used as the equality con-straint throughout the cruise maneuver. By incorrectlyestimating the effect of its model-based optimal trims onFNP, the PSC algorithm produces some unexpected tran-sients in FNP and FTIT, particularly on the left engine.

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(a) Net propulsive force.

(b) Fan turbine inlet temperature.

Figure 8. Minimum turbine temperature mode evaluation for a partial afterburner cruise at Mach 1.8 and an altitude of40,000 ft.

PSC off PSC on

0 20 60Time, sec

FNP, lbf

940207

40 80

12.0 x 103

11.6

11.0

Left Right

11.8

11.4

11.2

PSC off PSC on

0 20 60Time, sec

FTIT, °F

940208

40 80

2180

2140

2100

Left Right

2200

2160

2120

2220

Left and right FNP temporarily violate the equality con-straints during the transients, but eventually both return towithin 50 lbf of the reference levels.

During the first 20 sec of applying trims, FTIT wasreduced by 70 and 50 °F for the left and right engines,

respectively (fig. 8(b)). However, that level is unsustain-able, as evidenced in the FNP and FTIT traces. Afternearly 50 sec of PSC trim applications, FTIT has eitherreached or neared steady-state, and the algorithm has sta-bilized. Based on the first 10 and last 20 sec of data, PSCreduces FTIT by 27 and 25 °F for the left and right

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engines, respectively. To put these temperature reductionsin perspective based solely on temperature effects, every70 °F reduction doubles turbine life.8

Figures 8(c) to 8(e) show how the FTIT was reduced byPSC during the cruise test. The combined reductions ofnozzle drag, stabilator trim drag, and inlet drag for bothengines totaled between 300 and 400 lbf. Figure 8(c)shows the net drag reduction. The drag reduction allowedfor the net thrust to also be cut back, primarily by thedowntrim in WF. Left and right engine WF decreased by325 and 305 pph, respectively. Note the strong correlationof shape even during the transient of the fuel flow andFTIT traces.

Rapid Deceleration Mode

Several instances exist where it is desirable to increasethe rate of an aircraft’s supersonic deceleration. During in-flight emergencies, such as a loss of pressurization atsupersonic speeds, the ability to rapidly decelerate allows

the aircraft to reach the low altitude and subsonic domainquickly. In this domain, controllability increases, and mis-sion abort and egress options multiply. For militaryaircraft flying supersonic intercept missions, rapid deceler-ation gives the pilot increased control when engaging theadversary. Reducing infrared signature by lowering engineexhaust temperature and slowing more rapidly may also bedesired.

The standard F-15 aircraft uses a military power enginelockup schedule to maintain maximum airflow when theaircraft is above Mach 1.4 even when the throttles arebrought below military power. The power lockup preventsa low frequency, high-amplitude inlet resonance phenome-non known as buzz. Buzz occurs when inlet airflowdecreases below a Mach number-dependent critical value.Driven by the oscillation of the shock system, buzz is veryuncomfortable for the pilot and potentially damaging tothe inlet structure.

14

(c) Propulsion-related drag.

(d) Engine net thrust.

Figure 8. Continued.

PSC off PSC on

0 20 60Time, sec

Propulsion- related drag, lbf

940209

30 80

800

200

Left Right

600

70504010

400

PSC off PSC on

0 20 60Time, sec

Engine net

thrust, lbf

940210

30 80

12.2 x103

11.6

Left Right12.0

11.4

70504010

11.8

11.2

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(e) Engine core fuel flow.

Figure 8. Concluded.

0 20 60Time, sec

WF, pph

940211

30 80

7.6 x 103

7.0

PSC off PSC onLeft Right

7.4

6.8

70504010

7.2

6.6

As the F-15 aircraft decelerates below Mach 1.4, theengine control permits engine airflow to decrease becausethe risk of encountering buzz declines with decreasingspeed. The engine control schedules the airflow primarilyas a function of Mach number. There is no direct closed-loop, measurement-based avoidance of buzz.

The F-15 engine controls create a large buffer betweenthe scheduled engine airflow and the buzz-inducing air-flow while in the lockup schedule. This buffer precludesthe occurrence of buzz caused by varying day conditionsand engine and inlet differences between aircraft. How-ever, the buffer creates a longer supersonic decelerationtime than would result if the engine operated within atighter tolerance of the airflow buzz boundary.

The PSC RDM bypassed the DEEC military powerlockup schedule and drove the propulsion system to aneven lower FNP value. The RDM uses logic similar inoperation to that of the maximum thrust mode. However,in this mode, PSC drives the FNP to its minimum allow-able value. The primary constraint is minimum engine air-flow. This constraint is a function of Mach number andwas selected to permit improved tracking of the airflowbuzz boundary while still providing enough margin toavoid buzz. MDA reanalyzed F-15 wind tunnel data andproduced a more accurate minimum airflow constraintdefinition. The revised definition allowed the airflow to befurther downtrimmed with more confidence.

The inlet ramps were reconfigured by RDM to increaseinlet and trim drag, using ramp position–drag relationshipsand built-in shock ingestion prevention logic. The com-bined decreased thrust and increased drag configurationbrought the aircraft to subsonic speeds much more quicklythan is possible with the standard military power lockupschedule.

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Figure 9 presents the benefits of the RDM in tests per-formed at an altitude of 45,000 ft. The test setup consistedof accelerating the aircraft at maximum augmentation to aspeed approximately Mach 0.2 faster than the desired initi-ating Mach number then bringing both throttles to the idleposition. In decelerating to the starting Mach number, thePSC algorithm was given time to stabilize. The pilot thenengaged PSC. Engine thrust was reduced, the inlets werereconfigured, and the plane was allowed to deceleratestraight and level to low supersonic speed. The pilot thendisengaged the mode, and the engines and inlets werereturned to their normal operating schedule. For compari-son purposes, a second deceleration was also flownstraight and level at each test altitude without the use ofthe PSC algorithm. The speed brake was stowed for theexample presented.

The pilot engaged PSC at Mach 1.98 and ended its useat Mach 1.1. Using RDM, deceleration time was reducedby 50 percent, or from 139 to 69.5 sec (fig. 9(a)). Fig-ure 9(b) presents the change in component force and dragresulting from the use of RDM. Net thrust was greatlyreduced, primarily as a result of the reduction in engineairflow. Inlet drag was substantially increased by movingthe inlet shock system further open, thereby increasing air-flow spillage. Trim drag also increased as the inlet cowlwas rotated upwards. The change in nozzle drag was mini-mal. Figure 9(c) compares engine fuel flow as a functionof Mach number for both test points and shows the largereduction that occurs with RDM engaged (for example, 62percent at Mach 1.4). A correspondingly large decrease inengine operating temperature also occurs (fig. 9(d)). TheFTIT is compared for both test points. For example, FTITis reduced by 560 °F or 33 percent at Mach 1.4 with PSCengaged.

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(a) Deceleration time.

(b) Thrust and drag.

Figure 9. Rapid deceleration mode evaluation for an idle power setting deceleration at an altitude of 45,000 ft with andwithout performance seeking control .

2.0

1.9

1.8

1.7

1.6

1.5

1.4

1.3

1.2

1.1160140120100806040200

Time, sec

Off On

PSC

Mach number

940212

–6

–4

–2

0

2 x 103

2.01.91.81.71.61.51.41.31.21.1Mach number

Net thrust Inlet drag Trim drag Nozzle drag

Increase in thrust and drag

Change in

force, lbf

940213

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(c) Total fuel flow.

(d) Fan turbine inlet temperature.

Figure 9. Concluded.

1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.01.1

6

5

4

3

2

1

0

Mach number

Average fuel flow, lb/hr

Off On

PSC7 x 103

940214

1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.01.1

1600

1400

1200

1000

800

Mach number

Left and right engine

FTIT average,

° F

Off On

PSC

1800

940215

The time-to-decelerate data were corrected for weightand trim drag differences between the PSC off and ondecelerations. No inlet buzz problems occurred usingRDM. The RDM successfully demonstrated the benefits ofintegrating the engine control with a thrust calculationalgorithm and off-nominal inlet scheduling. Flexibility of

the PSC algorithm in effectively accommodating differentperformance goals was also proven. In this case, theantithesis of the maximum thrust mode drove the propul-sion system to a minimum force value. This value wasconstrained primarily to an accurate minimum airflowboundary.

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Concluding Remarks

Flight testing of a model-based, adaptive control algo-rithm was performed on a NASA F-15 aircraft with inte-grated engine and airframe control. This algorithm,Performance Seeking Control (PSC), seeks to improveupon the advanced engine control system by applyingreal-time adaptation to the flight-measured article.

Initial flight tests performed algorithm validation andsingle-engine demonstration of PSC in the supersonicflight envelope. The last series of flight tests concentratedon the dual-engine application of PSC at supersonic flightconditions, demonstrating how PSC optimizes two sys-tems independently and simultaneously. The tests also val-idated the new rapid deceleration mode (RDM).

The PSC algorithm consists of an estimation routine toupdate propulsion models and an optimization routine tooptimize the model–predicted performance. An integratedsystem model predicts the current state and performanceof the propulsion system, using a Kalman filter to adaptoff-nominal engine performance to real-time and estimat-ing the parameters that can not be measured. The optimalcontrol trim set is based upon this integrated systemmodel, then is sent to the actual propulsion system. ThePSC algorithm is duplicated for left and right propulsionsystems, allowing one engine to be optimized indepen-dently of the other engine.

A linear programming technique optimizes this inte-grated system model, allowing pilot selection of four opti-mization modes: maximum thrust, rapid deceleration,minimum fuel, and minimum turbine temperature. Testingof these modes has been concluded. Overall engine perfor-mance improvements were demonstrated for the single-engine application in subsonic and supersonic flighttesting. Aircraft performance improvements were directlymeasurable for dual-engine supersonic flight. The modeswere evaluated to illustrate the manner in which PSCachieves its results in the supersonic envelope.

Accelerations and decelerations were flown to test thePSC maximum thrust mode and RDM, respectively. Dur-ing the maximum thrust mode acceleration testing at analtitude of 45,000 ft, the PSC commanded optimal inletand engine uptrims. The PSC model estimated the left andright propulsion system produced an average of 4 percentmore thrust than the baseline. These estimated improve-ments are evidenced by the measured 8.5 percent reduc-tion in acceleration time from Mach 0.9 to Mach 2. Theapplication of the PSC RDM led to quicker decelerations.At an altitude of 45,000 ft, time to decelerate from Mach 2to Mach 1.1 decreased by 50 percent.

The results from the minimum fuel and turbine tempera-ture modes showed that PSC can substantially improve

1

thrust-specific fuel consumption (TSFC) and be used toextend engine life. Cruise testing of the PSC minimumfuel and turbine temperature modes demonstrated the abil-ity of the PSC algorithm to hold net propulsive force con-stant while minimizing TSFC or fan turbine inlettemperature, FTIT. As predicted, PSC held flight conditionby controlling model-estimated thrust to a constant levelfor both modes. At Mach 1.5 and an altitude of 30,000 ft,TSFC was reduced by over 9 percent for both sides of thepropulsion system primarily by reducing afterburner fuelflow requirements. A minimum turbine temperature modetest at Mach 1.8 and an altitude of 40,000 ft resulted in anFTIT decrease of 25 °F or more for both engines whileholding a constant thrust and flight condition. Because thebaseline engine operates on the maximum FTIT limit atthis flight condition, 25 °F reduction translates to in-creased engine life.

References

1Yonke, W.A., Terrell, L.A., and Myers, L.P., “IntegratedFlight/Propulsion Control: Adaptive Engine ControlSystem Mode,” AIAA-85-1425, July 1985.

2Smith, R.H., Chisholm, J.D., and Stewart, J.F., “Opti-mizing Aircraft Performance With Adaptive, IntegratedFlight/Propulsion Control,” Journal of Engineering for GasTurbines and Power, vol. 113, Jan. 1991, pp. 87–94.

3Tich, Eric J., Shaw, Peter D., Berg, Donald F., Adibhatla,Shrider, Swan, Jerry A., and Skira, Charles A.,“Performance Seeking Control for Cruise Optimization inFighter Aircraft,” AIAA-87-1929, June 1987.

4Orme, John S. and Gilyard, Glenn B., Subsonic FlightTest Evaluation of a Propulsion System ParameterEstimation Process for the F100 Engine, NASA TM-4426,1992.

5Gilyard, Glenn B. and Orme, John S., Subsonic FlightTest Evaluation of a Performance Seeking ControlAlgorithm on an F-15 Airplane, NASA TM-4400, 1992.

6Chisholm, J.D., “In-Flight Optimization of the TotalPropulsion System,” AIAA-92-3744, July 1992.

7Conners, Timothy R., Thrust Stand Evaluation ofEngine Performance Improvement Algorithms in an F-15Airplane, NASA TM-104252, 1992.

8Lambert, H.H., Gilyard, G.B., Chisholm, J.D., and Kerr,L.J., Preliminary Flight Evaluation of an Engine Perfor-mance Optimization Algorithm, NASA TM-4328, 1991.

9Orme, John S. and Gilyard, Glenn B., PreliminarySupersonic Flight Test Evaluation of Performance SeekingControl, NASA TM-4494, 1993.

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10Nobbs, S.G., Jacobs, S.W., and Donahue, D.J., “Devel-opment of the Full-Envelope Performance Seeking ControlAlgorithm,” AIAA-92-3748, 1992.

11Landy, Robert, “F-15 Aircraft and Inlet Description,”Highly Integrated Digital Electronic Control Symposium,NASA CP-3024, 1987, pp. 54–64.

12Spencer, C.R., “Engine Description and DEEC,”Highly Integrated Digital Electronic Control Symposium,NASA CP-3024, 1987, pp. 66–80.

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13Luppold, R.H., Roman, J.R., Gallops, G.W., and Kerr,L.J., “Estimating In-Flight Engine Performance Varia-tions Using Kalman Filter Concepts,” AIAA-89-2584, July1989.

14España, Martín D. and Gilyard, Glenn B., On theEstimation Algorithm Used in Adaptive PerformanceOptimization of Turbofan Engines, NASA TM-4551, 1993.

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