控制理论与应用2017，Vol.34Issue(3)：321-328,8.DOI:10.7641/CTA.2017.60296
风力发电系统传感器故障诊断
Sensor fault diagnosis for wind turbine system
摘要
Abstract
In this paper, the approach of sensor fault diagnosis based on sliding-mode observers for nonlinear wind turbine system (WTS) is proposed. Considering the additive fault of sensor, the nonlinear dynamic model of WTS is built, then a global T-S fuzzy model of the system is established by T-S fuzzy theory. Under some assumptions, a residual which is robust to disturbance but sensitive to sensor fault is produced by designing a kind of T-S fuzzy sliding-mode observer. The residual can be used to detect the sensor fault. Then sensor fault is detected and reconstructed by the designed T-S fuzzy sliding-mode observer and the equivalence output control concept to maintain sliding-mode motion. Finally, some numerical simulations based on three blade horizontal axis wind power system are carried out. The results show that, the proposed new method can effectively and reliably detect and reconstruct the sensor fault of wind turbine system.关键词
风力发电系统/故障诊断/T-S模糊/故障检测/等价输出控制/故障重构Key words
wind turbine system/fault diagnosis/T-S fuzzy/fault detection/equivalence output control/fault recon-struction分类
信息技术与安全科学引用本文复制引用
沈艳霞,杨雄飞,赵芝璞..风力发电系统传感器故障诊断[J].控制理论与应用,2017,34(3):321-328,8.基金项目
国家自然科学基金项目(61573167, 61572237),高等学校博士学科点专项科研基金项目(20130093110011)资助. Supported by National Natural Science Foundation of China (61573167, 61572237) and Specialized Research Fund for Doctoral Program of Higher Education of China (20130093110011). （61573167, 61572237）
