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Use ofSiesta in VIRGO commissioning
Lisa Barsotti University of Pisa – INFN Pisa
For the Virgo collaboration
Caltech, December 19th 2003
OutlinesOutlines
Introduction to SIESTA
SIESTA as locking tool: Commissioning of the central interferometer (CITF)
Commissioning of the first Virgo 3-km cavity
Recombined mode
Lock of the full Virgo
Towards a complete simulation:
Optics Modal simulation
Mechanics Superattenuator tuning
Inertial damping
Local controls
Hierarchical control
The SIESTA codeThe SIESTA code
SIESTA: time domain simulation of Virgo Objects defined as C structure
Sub-routines written for each sub-system
Signal structure used to relate the different elements of the simulation
Simulation parameters defined in ascii configuration files (SIESTA cards)
An example of configuration cardAn example of configuration card LASER
IOlaser laser 0 NULL 1.064e-6 0.14 NULL freq_noise.out 0. 2.15264e-2 .50 NO 2
P laser waist
m+nclock
PHASE MODULATOR
USignal carrier 0.96 USignal sb1 0.05 USignal sb2 -0.05
OPmod mod 0 laser.oBeam 3 0. 6.264080e6 -6.264080e6 carrier NULL sb1 NULL sb2 NULL
OPTICAL CONFIGURATION
OPcavity itf 0 mod.oBeam MiSuNIb MiSuNEf YES NULL
Dynamical simulationMirrors surface
MIrror MirNI 0 SuNI.dxyzt misNI.out NULL MiSuNIb 6.3807 0. 0. 1. 0. 0
MIsurf MiSuNIb 0. .1 0. 0. 0. 0.8819765 7.75e-6
CAVITY MIRRORS
R losses
Output frames: data fast Output frames: data fast visualizationvisualization
Time Plot
FFT Histogram 1-D
TFHistogram 2-D
FFT Time
Plots savable also as .C, .root, .ascii for deeper analysis (ROOT, VEGA, MATLAB)
SIESTA link to real time controlSIESTA link to real time control
SIESTA
Control signalsPhotodiodes signals
Algorithms running in the global control
SIESTA link to real time controlSIESTA link to real time control
Control signalsPhotodiodes signals
Algorithms running in the global control
VIRGO
Commissioning of the Virgo CITF - I
Study of the CITF lock acquisition
Gains and triggers computed by the simulation
Strategy directly transfered in the Virgo global control system
West and recycling mirrors controlled
Commissioning of the Virgo CITF - II
Recycling cavity power
Main trigger
Correction PR
Correction WI
Lock event
Commissioning of the north cavity
Feedback characterization:
• optical gain
• open loop transfer function
Analysis of the lock algorithm efficiency
• linearized error signal
• no linearized error signal
Comparison with real data (C1 run)
Real actuators, real photodiodes, computational delays included in the simulation
Commissioning of the north cavity - I
B1
T=8%
T=50 ppm
T=12%6 W
B5
B7
Optical scheme
Commissioning of the north cavity - II
Lock acquisition control scheme
B7
B1p
BS
NENIPR
Hz
|Gain
|
frequency
1 pole at 0.01 Hz
2 zeros at 10 Hz
2 poles at 800 Hz
1 pole at 1000 Hz
Commissioning of the north cavity - II
Asymmetric trigger on the trasmitted power
Trigger opening:
50 %Trigger closing:
1 %
Linearized error signal: Pr_B7_DC
Pr_B1p_ACp Switch to B1 with the OMC
locked
1/m 102.4 8Optical Gain: Measured
Simulated
Transfer Function Open Loop – Measured
Measured injecting white noise
M
G
zErr
zGc
zCorr
noise
Unity Gain @ 50 Hz
Gain margin:
3
Phase margin:
30°
Transfer Function Open Loop – Simulated
Gain margin:
3.3
Phase margin:
35°
Unity gain @ 55 Hz
Measured injecting white noise
M
G
zErr
zLock
zCorr
noise
Transfer Function Open Loop – Measured & Simulated
simulatedmeasured
Gain
Phase
Lock Algorithm Efficiency – I with the linearized error signal
24 locking events collected locking and delocking the cavity
for 20 minutes (GPS 752873880 – 752875080)
23 lock acquisition at the first attempt, only 1 failed locking attempt
A typical locking event
Lock Algorithm Efficiency – I Relative velocity between the mirrors computed for each locking attempt
8 m/s: maximum velocity for the lock acquisition success
12.5 m/s: velocity of the failed event
Failed locking attempt
v ~ 12.5
sμm
sμm
8
2.5 m/s: mean value of the
velocity
Lock Algorithm Efficiency – I
Gain due to the linearization:
Constraints on the velocity according to the theory:
10
33
m
Fv
λαBv
BΔt
MAXMAX
MAX
2
2
1
sμm
sμm
~ 10
Linearized error signal
No Linearized error signal
m
gain limited by the noise
~ 10
Lock Algorithm Efficiency - I Simulation
With velocity lower than 10 m/s lock at the first attempt
With velocity higher than 10 m/s lock at the second attempt
Lock failed
Sweep at 12 m/s :
Lock event
Lock Algorithm Efficiency – II
with the no linearized error signal
26 locking events collected locking and delocking the cavity
for 20 minutes (GPS 752873880 – 752876280)
14 lock acquisition at the first attempt, 12 after some
failed attempts
Locking always acquired in few
seconds
Lock Algorithm Efficiency – II
Failed locking attempts
Maximum velocity measured for a locking event: sμm3.5 Constraints on the velocity according to the theory:
m
Fv
λBv
BΔt
MAXMAX
MAX
2
2
1
3.3
3.3 sμm
sμm
Lock Algorithm Efficiency - IISimulation
Maximum velocity measured for a locking event:
With higher velocity, lock acquired after some attempts, in few seconds
sμm2
Sweep at 2.5 sμm
Recombined Optical Scheme
B1
T=8%
B5
B7
B8
B2
Reconbined Control Scheme
B1
B5
B7
B8
B2
north cavity controlled with B5
west cavity and michelson controlled at
the sime time
N_tras_power W_tras_power B1_power
Lock of the N cavity
Lock of W cavity and michelson at the same
time
to be tuned
Recombined: preliminary simulation
Lock acquisition of the full Virgo - I
Multi–states approach (LIGO scheme)
Dynamical inversion of the optical matrix
Lock acquisition of the full Virgo - I
Algorithm in a subroutine C++ in the global control use the same algorithm for the SIESTA simulation
simulation in progress
OutlinesOutlines Introduction to SIESTA
SIESTA as locking tool: Commissioning of the central interferometer (CITF)
Commissioning of the the first Virgo 3-km cavity
Recombined mode
Lock of the full Virgo
Towards a complete simulation:
Optics Modal simulation
Mechanics Superattenuator tuning
Inertial damping
Local controls
Hierarchical control
Modal simulation
High order modes (n + m ≤ 5 )
• compromise with the computational time 1 sec @ 20
kHz ⇒ 45 sec
Check with other codes in progress
0.113
misalignment of 2 rad in y of the curve mirror
Suspensions complete simulation: the SA
Transfer function betweeen force on steering filter and YAW mode of the mirror
RED simulation
BLACK measurement
Siesta file with the SA description
Inertial damping
Simulation tuning
zz
x
y
marionetta
reference mass
test mass
The Last Stage of the SA
Local controls system
Sensing: angular readout ( x e y ) of marionetta and mirror, position readout of the mirror along the optical axis;
Filtering: filtering of the signals achieved in the sensing phase;
Driving: control of the angular position of mirror and marionetta by feedback on the marionetta; control of the mirror position along the optical axis (z) by feedback to the reference mass.
MARIONETTA: x and y angular readout MIRROR: readout of x e y
and of the z position
measurement of the z position
SensingSimulation in
progress
Filtering & Driving
marionetta
reference mass
mirror
z
z Damping
x y
x y
marionetta
mirror
marionetta loop
mirror loop
Marionetta loop
action time
x y
Unity gain @ 5 Hz Unity gain @ 5 Hz
z Damping
action time
0.6 Hz excitation by white noise injection
Unity gain @ 2 Hz
0.6 Hz resonance compensation
Optimization of the z damping loop – I
10 sec
zCorr zMirrorm
Hz
Unity gain @ 0.65 Hz
measured
Open loop transfer function
Damping time sec
Optimization of the z damping loop – II
simulated
Open loop transfer function
Critical damping @
1.45 Hz
Hz
mV
zCorr zMirror
2 sec
Optimization of the z damping loop – III
measured after the optimization
mV
~ 2 sec
zCorr zMirror
Guadagno open loop
Hz
Critical damping @
1.45 Hz
Hierarchical control
marionetta
reference mass
mirror
z
Control from the reference mass
Control from the marionetta
Transfer function betweeen force on steering filter and z movement of the
mirror
simulation work in progress
North cavity complete simulation
Modal and dynamical optical simulation
Laser frequency noise
noise taken from the real data
Real actuators and real photodiodes
Computational delays
Asymmetry in the coils
6 dof superattenuators, with:
angular controls
longitudinal damping
inertial damping
Conclusions
Time domain simulation: mainly tool for locking studies
Frames output, link with real time control system
Now work on suspensions control and high order modes simulation:
improve the plane-wave lock acquisition algorithm
WFS
hierarchical control (marionetta)
Noise analysis