DOI: 10.3724/SP.J.1219.2013.00750

Information and Control (信息与控制) 2013/42:6 PP.750-757

T-S Fuzzy Robust Fault-tolerant Control Strategy for Wind Energy Conversion System

For the actuator fault of wind energy conversion system (WECS), the state equation of WECS is designed and analyzed. Continual gain actuator faults of system are converted into the parameter uncertainties of driving system, and then the T-S fuzzy model of the system is deduced. Adopting state feedback of parallel distributed compensation structure, considering system actuator fault, a robust fault-tolerant controller is designed, and the system stability can be proved. The simulation results indicate WECS with actuator fault can also achieve maximum wind energy capture below the rated wind speed, the degree of fault deterioration is slowed down, and the utilization rate of the wind turbine is also improved.

Key words:wind energy conversion system,T-S fuzzy,actuator fault,fault-tolerant control

ReleaseDate:2015-04-15 18:52:45

Chen W T, Xie Z H, Chen P. Fault diagnosis and detection for gearboxof wind turbine genertor[J]. Machine Tool & Hydraulics, 2012,40(3): 167-169.

[1] 雷亚洲,Lightbody G.风力发电与电力市场[J].电力系统自动化,2005,29(10):1-5. Lei Y Z, Lightbody G. Wind energy and wind market[J]. Automation of Electric Power Systems, 2005, 29(10): 1-5.

[2] Wang X, Wang Y, Ji Z C, et al. Design of two-frequency-loop robust fault tolerant controller for wind energy conversion system[C]//Proceedings of the 5th IEEE Conference on Industrial Electronic and Application. Piscataway, NJ, USA: IEEE, 2010: 718-723.

Gao S L, Zhao X R, Shen Q. The fault diagnosis of gearbox of thewind turbine[J]. Power Electronic, 2011, 45(10): 66-67.

Liu B Y, Chen D Y. Reliable guaranteed cost control for uncertainaffine nonlinear systems[C]// Proceedings of the 27th ChineseControl Conference. Beijing: University Press, 2008: 698-701.

[3] Sloth C, Esbensen T, Stoustrup J. Active and passive fault-tolerant LPV control of wind turbines[C]//Proceedings of 2010 American Control Conference, Marriott Waterfront. Piscataway, NJ, USA: IEEE, 2010: 4640-4646.

[4] Takagi T, Sugeno M. Fuzzy identification of systems and its applications to modeling and control[J]. IEEE Transactions on System, Man, and Cybernetics, 1985, 15(2): 116-132.

Chen M, Tong C N. LMI approach to robust fault-tolerant H control for uncertain systems[J]. Control and Decision, 2009,24(4): 526-531.

[5] Chadli M, El Hajjaji A. Wind energy conversion systems control using T-S fuzzy modeling[C]//Proceedings of the 8th Mediterranean Conference on Control & Automation. Piscataway, NJ, USA: IEEE, 2010: 1365-1370.

[6] Kamal E, Aitouche A, Ghorbani R, et al. Robust fuzzy fault-tolerant control of wind energy conversion systems subject to sensor faults[J]. IEEE Transactions on Sustainable Energy, 2012, 3(2): 231-241.

[7] 陈文涛,谢志红,陈平.风力发电机组齿轮箱故障检测与诊断[J].机床与液压,2012,40(3):167-169.

[8] 高胜利,赵小荣,申强.风力发电机组齿轮箱故障诊断[J].电力电子技术,2011,45(10):66-67.

[9] Bo Y, Xin H. Guaranteed cost reliable control for discrete-timelinear systems[C]//The Sixth World Congress on Intelligent Controland Automation. Piscataway, NJ, USA: IEEE, 2006: 1294-1298.

[10] 刘博宇,陈东彦.不确定仿射非线性系统的可靠保性能控制[C]//第27届中国控制会议.北京:北京航天大学出版社,2008:698-701.

[11] Han X D, Xie D X, Ge L, et al. Robust H guaranteed cost D-stable satisfactory fault-tolerant control againstactuator failures[C]//Proceedings of 2008 China Control and DecisionConference. Piscataway, NJ, USA: IEEE, 2008: 2696-2699.

[12] 陈明,童朝南.不确定系统鲁棒容错H控制的LMI设计方法[J].控制与决策,2009,24(4):526-531.

[13] Tanaka K, Wang H O. Fuzzy control systems design and analysis:A linear matrix inequality approach[M]. New York, USA: John Wiley & Sons Inc, 2001.

[14] Bianchi F D, Battista H D, Mantz R J. Wind turbine controlsystems: principle, modeling, and gain-scheduling design[M]. Berlin,Germany: Springer, 2006.

[15] Munteanu I, Brarcu A I, Cutululis N A, et al. Optimal controlof wind energy systems[M]. Berlin, Germany: Springer, 2008.

[16] Lee H J, Park J B, Chen G. Robust fuzzy control of nonlinearsystem with parametric uncertainties[J]. IEEE Transactions on FuzzySystems, 2001, 9(2): 369-379.