风力机桨距角传感器故障诊断研究

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (7): 1451-1457.

• 仿真建模与仿真算法及数值仿真 • 上一篇下一篇

风力机桨距角传感器故障诊断研究

翟艳杰, 吴定会, 李意扬, 纪志成

江南大学轻工过程先进控制教育部重点实验室,无锡 214122

收稿日期:2014-06-25 修回日期:2014-10-13 出版日期:2015-07-08 发布日期:2020-07-31
作者简介:翟艳杰(1990-),女,河南人,硕士,研究方向为风能转换系统故障诊断;吴定会(1970-),男,安徽合肥人,博士,副教授,硕导,研究方向为风力发电控制技术;李意扬(1990-),男,江苏无锡人,硕士,研究方向为故障诊断与容错控制。
基金资助:
国家自然科学基金资助项目(61174032); 江苏省博士后科学基金(1201035B)

Research on Fault Diagnosis for Pitch Sensors of Wind Turbines

Zhai Yanjie, Wu Dinghui, Li Yiyang, Ji Zhicheng

Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China

Received:2014-06-25 Revised:2014-10-13 Online:2015-07-08 Published:2020-07-31

摘要/Abstract

摘要： 针对风力机桨距角传感器输出偏移故障,提出一种基于多新息卡尔曼滤波算法的故障诊断方法。根据风力机机械结构特点,将桨距角的变化与风力机塔受力产生的微小位移建立对应关系。采用多新息卡尔曼滤波算法减小传感器输出信息中的噪声,提高了滤波算法的收敛速度和估计精度,得到较为精确的风力机塔微小位移估计值。由微小位移的变化检测出故障是否产生,并依据位移变化大小估算角度偏移量。仿真结果表明：所提出的故障诊断方法能够有效实现桨距角传感器的故障诊断。

关键词: 风力机, 桨距角传感器, 多新息卡尔曼滤波, 故障诊断

Abstract: Considering the biased output fault of pitch sensors for wind turbines, a fault diagnosis method based on the multi-innovation kalman filter algorithm was proposed. The corresponding relationship between the change of the pitch angle and the tiny displacement produced by the force acting on the tower was established according to the mechanical structure characteristics of wind turbines. More accurate estimated value for the tiny displacement was achieved by using the multi-innovation kalman filter algorithm which had higher convergence speed and estimation accuracy to reduce the large noise of the output information generated by sensors. The fault could be detected and the value of the pitch sensor bias could be estimated through the change of the tiny displacement. The simulation results show that the proposed approach is able to diagnose the pitch sensor bias fault effectively.

Key words: wind turbine, pitch sensor, multi-innovation kalman filter, fault diagnosis

中图分类号:

TP391.9

翟艳杰, 吴定会, 李意扬, 纪志成. 风力机桨距角传感器故障诊断研究[J]. 系统仿真学报, 2015, 27(7): 1451-1457.

Zhai Yanjie, Wu Dinghui, Li Yiyang, Ji Zhicheng. Research on Fault Diagnosis for Pitch Sensors of Wind Turbines[J]. Journal of System Simulation, 2015, 27(7): 1451-1457.

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风力机桨距角传感器故障诊断研究

Research on Fault Diagnosis for Pitch Sensors of Wind Turbines

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