Fault Estimation of Large Scale Wind Turbine Systems

摘要：

Fault diagnosis of large scale wind turbine systems has received much attention in the recent years. Effective fault prediction would allow for scheduled maintenance and for avoiding catastrophic failures. Thus the availability of wind turbines can be enhanced and the cost for maintenance can be reduced. In 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 reduction. The faults considered in the paper are mainly the blade root bending moment sensor faults and blade pitch actuator faults. With 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 magnitude. The effectiveness of the proposed approach is demonstrated by simulation results for several fault scenarios.

关键词： Fault estimation Filter Design Robustness GKYP lemma

作者: WEI Xiukun LIU Lihua

作者单位: State Key Laboratory for Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 10004 Institute of Automation, Beijing Information Science and Technology University, Beijing 100192, P. R

会议类型: 国际会议

会议名称: The 29th Chinese Control Conference(第二十九届中国控制会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）