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Simulation and Analysis of Wind Turbine Variable Pitch Torque and Control System
Chaofeng Li, Honggang Li, Xuejun Tao, Ruijie Zhao, Delin Liu XJ Group Corporation
XuChang, China [email protected]
Abstract—This paper establishes a variable pitch system working force mathematical model by analyzing variable pitch wind turbine blade stress , and designs its closed-loop PID controllers combined with the actual pitch system. a fuzzy adaptive PID loop control is introduced in the variable pitch system position loop , compares with simulation torque curves which were produced by the fuzzy adaptive PID algorithm and traditional PID algorithm in the process of feathering wind turbine and adjusting pitch in the power generation used real wind turbine parameters, and shows the feasibility and superiority of Fuzzy adaptive PID algorithm.
Keywords-blade disturbance torque; fuzzy adaptive PID; simulation
I.
PIDPID
II.
A.
.[1]
1
2 2m b
m b m
a0.5* * sin2 cos *a
a ( )
cdT a l dr
f f l
ω β φ ρ= ∗ ∗ ∗ ∗ ∗
= − 1
am : fm
fb
B.
[2]
Schmitz 1
)sin(2 11 IIww −=Δ
w1w
3wwδ
I
1I ε
l d 18e=C - [ sinI+C ]tan(I -I)FrBlπ
2
11I =tan xbe
Ybe
VV
−
Rω
0V
PrM
PS
PrF QF
ZF
NF
pa
β
BF
αrelV
φrelV α
1266978-1-4244-8165-1/11/$26.00 ©2011 IEEE
Cl ;Cd Ir ;l B
;v1 F ; Vxbe
Vybe Cl Cd i Cl
Cd[5]
2
a b
( cos sin )2
a ( )
a l d r a
a
dT C C V ldr
f f l
ρα α α= +
= − 3
Cl
Vr a
l fa
Bladeaxis
Rotor axis
AF
MT
aa 2v
rvUv
α Planeof rotor
TM
liftM
Rω
C.
[3] 2 2a
a
ada 2r m rT C V l dr
ρ= − (4)
Cm
D.
III.
m
( )s(J s+b)
e
t m
Ls R I V K s
K I T
θθ
+ = −= −
(5)
5
Jm b Kt Ke L R
IV. PID PID [4] rin
k yout k6
( ) ( ) ( )( ) ( ) ( ) ( ) ( )
( ) ( ) ( )
k k
1 1
2 1 2
in out
p i
d
e r y k
u k u k k e k e k ke k
k e k e k e k
= −
= − + − − +
+ − − + −
(6)
PID
V. PID PID
[5] eecPID
[6]
[-3,3], Kp
[-480,480],ki [-6,6],kd [-3,3], 47
[NB NM NS ZO PS PM PB] [7]Kp Ki
Kd 1 e
NB NM NS ZO PS PM PB NB PB PB PM PM PS ZO ZO NM PB PB PM PS PS ZO NS NS PB PM PM PS ZO NS NS ZO PM PM PS ZO NS NM NM PS PS PS ZO NS NS NM NB PM PS ZO NS NM NM NM NB PB ZO ZO NM NM NM NB NB
1267
NB NM NS ZO PS PM PB NB NB NB NM NM NS ZO ZO NM NB NB NM NS NS ZO ZO NS NB NM NS NS ZO PS PS ZO NM NM NS ZO PS PM PM PS NS NS ZO PS PS PM PB PM ZO ZO PS PS PM PB PB PB ZO ZO PS PM PM PB PB
NB NM NS ZO PS PM PB NB PS NS NB NB NB NM PS NM PS NS NB NM NM NS ZO NS ZO NS NM NM NS NS ZO ZO ZO NS NS NS NS NS ZO PS ZO ZO ZO ZO ZO ZO ZO PM PB NS PS PS PS PS PB PB PB PM PM PM PS PS PB
VI. Matlab Simulink S
4
kg. /s2) 0.0295
(H) 2.051
( ) 0.68
0.29
0.57
0.93
V 213.04
A 89
26576.8/15
(m) 40.25
(m) 1.21
NACA63
° 4
° 3
m 80 ° 0
A.
P I D
7 158 0
100 0.1 0
120 0.1 1
PID 5 55 0.6s PID
PID5
0.6 PID PID
PID
B.
[8,9]
6 24m/s10°/s
9.5Nm19Nm
6
1268
6 ADLC1.1
VII.
PIDPID
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Individual Pitch Control of Wind Turbine[J] ISSN 0005 -1144 ATKAFF 51(2),181–192(2010)
[2] Siegfried Heier . Wind Energy Conversion Systems[M].2006 John Wiley & Sons . ltd :77—79.
[3] Yi Ning, Honggang Li etc. Modeling and Simulation of Wind Rotor for Variable-speed Wind Turbine[J].Acta Energiae Solaries Sinica,2011.
[4] Yaonan Wang. Intelligent Control System.Changsha: Hunan University Press,1996,37~50.
[5] Ying Qiao , Zongxiang Lu etc. Integration Monitoring Platform research of Wind farm[J].Power system Protection and Control 2011 , 39(6):117-123.
[6] Aiguo Zhang,Junfeng Han,Cheng Jiang. power flow controller of adaptive neural network-based PI control[J]. Power system Protection and Control 2010,38(22):15-19,24.
[7] Hui Zhao, Baofa Zhang, Chao Lu. Brushless doubly-fed wind generator fuzzy power factor control and simulation[J]. Power system Protection and Control 2010,38(20):96-101.
[8] Shan Yi, Zhenfeng Zheng. variable pitch wind turbine emergency feathering torque analysis and calculation [J]. Wind Power, 1993(2):21—25.
[9] Xiaowu Chen. Wind turbine emergency feathering test and research[J]. Wind Power, 1992(2):21—26
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