Adaptive estimation-based leakage detection for a wind turbine hydraulic pitching system

IEEE/ASME Transactions on Mechatronics

Volumn 17, Issue 5, 2012, Pages 907-914

  Wu, Xin ^a   Li, Yaoyu ^b   Li, Feng ^c   Yang, Zhongzhou ^b   Teng, Wei ^c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b University of Wisconsin Milwaukee   (United States)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Adaptive estimation; hydraulic systems; leak detection; wind energy

Indexed keywords

ADAPTIVE ESTIMATION; ADAPTIVE PARAMETER ESTIMATION; ENERGY CAPTURE; EXPERIMENTAL DATA; HYDRAULIC SYSTEM; LEAKAGE COEFFICIENT; LEAKAGE DETECTION; LOAD REDUCTION; NATIONAL RENEWABLE ENERGY LABORATORY; OPERATION AND MAINTENANCE; PITCH AXIS; SCALE-DOWN; STRONG COUPLING; TIME VARYING LOADS; TURBINE HYDRAULICS; TURBINE MODELS; TURBULENT WIND;

AERODYNAMICS; COMPUTER SIMULATION; COMPUTER SOFTWARE; CONDITION MONITORING; ELECTRIC POWER GENERATION; FAULT DETECTION; HYDRAULIC EQUIPMENT; HYDRAULIC MODELS; LEAK DETECTION; TURBINE COMPONENTS; WIND POWER; WIND TURBINES;

HYDRAULIC MOTORS;

EID: 84865371071     PISSN: 10834435     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMECH.2011.2142400     Document Type: Article

References (24)

1. B. Lu, Y. Li, X. Wu, and Z. Yang, "A review of recent advances in wind turbine condition monitoring and fault diagnosis," in Proc. IEEE Power Electron. Mach. Wind Appl., 2009, pp. 1-7.
2. D. McMillan and G. W. Ault, "Quantification of condition monitoring benefit for offshore wind turbines," Wind Eng., vol. 31, no. 4, pp. 267-285, May 2007. (Pubitemid 351267150)
3. R. W. Hyers, J. G. McGowan, K. L. Sullivan, J. F. Manwell, and B. C. Syrett, "Condition monitoring and prognosis of utility scale wind turbines," Energy Mater., vol. 1, no. 3, pp. 187-203, Sep. 2006.
4. J. Ribrant and L. M. Bertling, "Survey of failures in wind power systems with focus on Swedish wind power plants during 1997-2005," IEEE Trans. Energy Convers., vol. 22, no. 1, pp. 167-173, Mar. 2007. (Pubitemid 46487489)
5. J. Watton, Modelling, Monitoring, and Diagnostic Techniques for Fluid Power Systems. Berlin, Germany: Springer-Verlag, 2007.
6. Y. Kong and Z. Wang, "Modelling and analysing the hydraulic variablepitch mechanism for a variable-speed wind turbine," Wind Eng., vol. 31, no. 5, pp. 341-352, Oct. 2007.
7. S. Daley and H. Wang, "Fault diagnosis in fluid power systems," Eng. Simul., vol. 13, no. 6, pp. 993-1008, 1996.
8. J. Watton and K. Kwon, "Neural network modeling of fluid power control systems using internal state variables," Mechatronics, vol. 6, no. 7, pp. 817-827, Oct. 1996. (Pubitemid 126365516)
9. S. Seong, S. Hur, J. S. Kim, J. T. Kim, W. Park, U. Lee, and S. Lee, "Development of diagnosis algorithm for the check valve with spectral estimations and neural network models using acoustic signals," Ann. Nucl. Energy, vol. 32, no. 5, pp. 479-492, Mar. 2005. (Pubitemid 40200566)
10. W. J. Crowther, K. A. Edge, C. R. Burrows, R. M. Atkinson, and D. J. Woollons, "Fault diagnosis of a hydraulic actuator circuit using neural networks: An output vector space classification approach," Proc. Inst. Mech. Eng., J. Syst. Control Eng., vol. 212, no. 1, pp. 57-68, 1998.
11. H. Chen, P. Chua, and G. Lim, "Fault classification of water hydraulic system by vibration analysis with support vector machine," J. Test. Eval., vol. 35, no. 4, pp. 408-415, Jul. 2007. (Pubitemid 47579424)
12. L. An and N. Sepehri, "Hydraulic actuator leakage fault detection using extended Kalman filter," Int. J. Fluid Power, vol. 6, no. 1, pp. 41-51, Mar. 2005. (Pubitemid 40635455)
13. J. Shi, F. Gu, B. Lennox, and A. Ball, "A grey-box modelling and its application in model-based fault detection," Int. J.COMADEM, vol. 12, no. 1, pp. 21-30, Jan. 2009.
14. S. Gayaka andB. Yao, "FaultDetection, identification and accommodation for an electro-hydraulic system: An adaptive robust approach," in Proc. 17th World Congr. Int. Fed. Autom. Control, Seoul, Korea, Jul. 2008, pp. 13815-13820.
15. H. Du, "Hydraulic System Health Indicator," U. S. Patent 7 204 138, B2, Mar. 7 2006.
16. E. Papadopoulos, B. Mu, and R. Frenette, "On modeling, identification, and control of a heavy-duty electrohydraulic harvester manipulator," IEEE/ASME Trans. Mechatronics, vol. 8, no. 2, pp. 178-187, Jun. 2003.
17. A. Mohanty and B. Yao, "Integrated direct/indirect adaptive robust control of hydraulic manipulators with valve deadband," IEEE/ASME Trans. Mechatronics, Jul. 2011 (in press and available on line with Digital Object Identifier 10. 1109/TMECH. 2010. 2051037).
18. C. Kaddissi, J. Kenne, and M. Saad, "Indirect adaptive control of an electrohydraulic servo system based on nonlinear backstepping," IEEE/ASME Trans. Mechatronics,Dec. 2011 (in press and available on linewith Digital Object Identifier 10. 1109/TMECH. 10. 1109/TMECH. 2010. 2092785).
19. M. H. Hansen (2007). "How hard can it be to pitch a wind turbine blade?" RISO Lab, Denmark Tech. Univ., Kongens Lyngby, Denmark [Online]. Available: www.risoe. dtu. dk/rispubl/art/2007-321-presentation. pdf
20. H. Merritt, Hydraulic Control Systems. New York: Wiley, 1967.
21. S. Liu and B. Yao, "Automated onboard modeling of cartridge valve flow mapping," IEEE/ASME Trans. Mechatronics, vol. 11, no. 4, pp. 381-388, Aug. 2006. (Pubitemid 46405311)
22. K. S. Narendra and A. M. Annaswamy, Stable Adaptive Systems. Englewood Cliffs, NJ: Prentice-Hall, 1989.
23. J. M. Jonkman, M. L. Buhl Jr., "FAST user's guide," Tech. Rep. National Renewable Energy Laboratory (NREL) at Golden, Colorado, US. NREL/EL-500-38230, Version 3. 01, 2005.
24. A. Alleyne and R. Liu, "On the limitations of force tracking control for hydraulic servosystems," Trans. ASME, J. Dyn. Syst., Meas., Control, vol. 121, no. 2, pp. 184-190, 1999.