| 引用本文: | 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.[点击复制] |
| SHEN Yan-xia,YANG Xiong-fei,ZHAO Zhi-pu.Sensor fault diagnosis for wind turbine system[J].Control Theory and Technology,2017,34(3):321~328.[点击复制] |
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| 风力发电系统传感器故障诊断 |
| Sensor fault diagnosis for wind turbine system |
| 摘要点击 2569 全文点击 2332 投稿时间：2016-05-07 修订日期：2017-03-17 |
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| DOI编号 10.7641/CTA.2017.60296 |
| 2017,34(3):321-328 |
| 中文关键词 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 |
| 英文关键词 wind turbine system fault diagnosis T--S fuzzy fault detection equivalence output control fault reconstruction |
| 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 |
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| 中文摘要 |
| 针对非线性风力发电系统, 提出了一种基于滑模观测器的传感器故障诊断方法. 基于考虑传感器加性故障的非线性动态模型, 利用T--S模糊理论建立风力发电系统全局T--S模型, 设计模糊T--S 系统滑模故障观测器, 产生对故障具有敏感性的残差, 实现故障检测. 通过等价输出控制方法来维持滑模运动, 直接获取故障信息,重构传感器故障. 最后以三叶片水平轴风力发电系统为例, 仿真验证了该方法的有效性与可靠性. |
| 英文摘要 |
| 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. |
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