Abstract
Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components, actuators and sensors. However, despite of the hardware redundancy, sensor faults have often affected the wind turbine normal operation and thus caused energy generation loss. In this paper, aiming at the wind turbine hydraulic pitch system, data-driven design of process monitoring (PM) and diagnosis has been realized in the wind turbine benchmark. Fault tolerant control (FTC) strategies focused on sensor faults have also been presented here, where with the implementation of soft sensor the sensor fault can be handled and the performance of the system is improved. The performance of this method is demonstrated with the wind turbine benchmark provided by MathWorks®.
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References
Burton T, Jenkins N, Sharpe D, et al. Wind energy handbook [M]. Chichester: John Wiley & Sons, 2011.
Wei X, Verhaegen M, Van Den Engelen T. Sensor fault diagnosisof windturbinesfor fault tolerant [C]// Proceedings of the 17th World Congress, The International Federation of Automatic Control. Seoal, Korea: IFAC, 2008: 3222–3227.
Ding S X, Zhang P, Naik A, et al. Subspace method aided data-driven design of fault detection and isolation systems [J]. Journal of Process Control, 2009, 19(9): 1496–1510.
Ding S X. Model-based fault diagnosis techniques [M]. Berlin: Springer-Verlag, 2013.
Ding S X. Data-driven design of fault diagnosis and fault-tolerant control systems [M]. Berlin: Springer-Verlag, 2014.
Ding S X, Yang Y, Zhang Y, et al. Data-driven realizations of kernel and image representations and their application to fault detection and control system design [J]. Automatica, 2014, 50(10): 2615–2623.
Blesa J, Rotondo D, Puig V, et al. FDI and FTC of wind turbines using the interval observer approach and virtual actuators/sensors [J]. Control Engineering Practice, 2014, 24: 138–155.
Miller S. Wind turbine model [EB/OL].(2015-03-17). http://www.mathworks.de/matlabcentral/fileexchange/25752-wind-turbine-model, 2013.
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Foundation item: the National Natural Science Foundation of China (No. 51205018), the Fundamental Research Funds for the Central Universities of China (No. FRF-TP-14-121A2) and the Research Project of State Key Laboratory of Mechanical System and Vibration (No. MSV-2014-09)
The two authors contributed equally to this work.
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Wang, K., Luo, H., Krueger, M. et al. Data-driven process monitoring and fault tolerant control in wind energy conversion system with hydraulic pitch system. J. Shanghai Jiaotong Univ. (Sci.) 20, 489–494 (2015). https://doi.org/10.1007/s12204-015-1655-2
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DOI: https://doi.org/10.1007/s12204-015-1655-2