基于风速估计的风力机状态反馈滑模容错控制

State feedback sliding mode fault tolerant control of wind turbine based on wind speed estimation

中文关键词  风速估计  径向基函数神经网络  风力机  滑模容错控制  自适应控制

英文关键词  wind speed estimation  radial basis function network  wind turbines  sliding mode fault tolerant control  adaptive control

中文摘要

      针对风力机变桨距执行机构突变故障, 提出了基于风速估计的自适应状态反馈滑模容错控制策略. 首先, 设计了基于自适应状态反馈滑模理论的鲁棒主动容错控制器, 并结合全阶补偿器对控制律进行设计; 然后, 利用基 于变速灰狼优化算法的组合径向基函数神经网络实现风速估计, 可以改善风速测量精度并提高控制系统可靠性; 最后, 根据线性矩阵不等式和Lyapunov理论对控制器稳定性进行讨论, 并与现有控制策略进行比较. 仿真结果表明, 在健康/故障的变桨距执行机构条件下, 所提容错控制方法均能获得较好的控制效果.

英文摘要

      Aiming at the abrupt faults of variable pitch actuator of wind turbine, an adaptive state feedback sliding mode fault-tolerant control (AFSMFTC) strategy based on wind speed estimation is proposed in this paper. Firstly, an active robust fault-tolerant controller based on adaptive state feedback sliding mode control is designed, and the control law is designed with full order compensator. Then, the combined radial basis function neural network (CRBFNN) based on variable speed grey wolf optimization (VGWO) algorithm is used to estimate the wind speed, which can improve the reliability of the control system and the accuracy of wind speed measurement. Finally, the stability of the controller is discussed based on linear matrix inequality (LMI) and Lyapunov theory. The simulation results show that the proposed fault-tolerant control method can achieve better control effect under the condition of healthy and faulty actuators.