| 引用本文: | 吴定会,刘稳,宋锦.基于SDW-LSI算法的风力机故障估计与容错控制[J].电力系统保护与控制,2017,45(4):64-71.[点击复制] |
| WU Dinghui,LIU Wen,SONG Jin.Fault estimation and fault tolerant control of wind turbines based on the SDW-LSI identification algorithm[J].Power System Protection and Control,2017,45(4):64-71[点击复制] |
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| 摘要: |
| 为了解决风力机桨距执行器故障导致的桨距角动态响应变慢和输出功率波动的问题，基于辨识理论和解析理论，提出了故障估计和容错控制方法。采用欧拉变换将二阶传递函数转化为辨识方程。利用滑动数据窗最小二乘迭代辨识算法估计桨距系统中的自然频率和阻尼系数。根据解析理论推导补偿函数，将所估计的参数反馈到补偿函数中，调整故障前后系统的关系，从而解决桨距角变慢和输出功率波动的问题。最后，选取桨距执行器液压油空气含量过高故障验证算法的可行性。 |
| 关键词: 风力机 辨识 故障估计 容错控制 |
| DOI：10.7667/PSPC160307 |
| 投稿时间：2016-03-10修订日期：2016-05-04 |
| 基金项目:国家自然科学基金项目(61572237，61573167) |
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| Fault estimation and fault tolerant control of wind turbines based on the SDW-LSI identification algorithm |
| WU Dinghui,LIU Wen,SONG Jin |
| (Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China) |
| Abstract: |
| The dynamic response of the pitch angle will be slowed down when the pitch actuator of wind turbines fails, and the fault will lead to the output power fluctuations. In the light of the identification theory and the analytical theory, a fault tolerant control method combined with the fault estimation is proposed to resolve the problem. The second order transfer function is transformed into the identification equation by using the Euler transformation. Next, the time varying natural frequency and damping ratio of pitch actuators are estimated using the sliding data window least squares based iteration (SDW-LSI) identification algorithm. According to the theory of analytics, a compensation equation is derived, and the values estimated are fed back to the compensation module to adjust the relations before and after faults occur in the pitch actuator to solve the problems of slow pitch angle and the output power fluctuation. Finally, the feasibility of the algorithm is validated by choosing the fault of high air content in hydraulic oil. This work is supported by National Natural Science Foundation of China (No. 61572237 and No. 61573167). |
| Key words: wind turbine identification fault estimation fault tolerant control |
