Fault Estimation of Large Scale Wind Turbine Systems

作     者：WEI Xiukun 1,2,LIU Lihua 3 1.State Key Laboratory for Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,P.R.China2.Traffic and Transportation School,Beijing Jiaotong University,Beijing 100044,P.R.China 3.Institute of Automation,Beijing Information Science and Technology University,Beijing 100192,P.R.China 

会议名称：《第二十九届中国控制会议》

会议日期：2010年

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：supported by 863 program with grant No.2009AA110302 National Key Technologies R&D program with grant No.2009BAG12A10-1 and 2009BAG12A10-6 

关 键 词：Fault estimation Filter Design Robustness GKYP lemma 

摘      要：Fault diagnosis of large scale wind turbine systems has received much attention in the recent *** fault prediction would allow for scheduled maintenance and for avoiding catastrophic *** the availability of wind turbines can be enhanced and the cost for maintenance can be *** this paper,we consider the sensor and actuator fault detection issue for large scale wind turbine systems where the individual pitch control is used for loads *** faults considered in the paper are mainly the blade root bending moment sensor faults and blade pitch actuator *** the aid of a dynamical model of the wind turbine system,A dynamic filter,which is designed based on GKYP lemma in the finite frequency domain,is used to estimate the fault *** effectiveness of the proposed approach is demonstrated by simulation results for several fault scenarios.