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为了快速准确地诊断出风力机桨距执行器故障,在建立的线性变参数(linear parameter varying,LPV)风力机系统的基础上,设计自适应LPV故障观测器.首先,考虑风扰动和故障对系统稳定性的影响,将故障观测器的限制条件扩展到LPV系统,得到自适应LPV故障观测器的限制条件;然后,采用凸分解技术对LPV系统进行近似,从而将求解无穷个线性矩阵不等式的问题转化为求解有限个线性矩阵不等式的问题;最后,利用LMIs工具箱,求解得到自适应LPV故障观测器增益和故障更新增益.仿真结果表明,在处理风力机桨距执行器正弦故障、液压空气含量过高故障和泵堵塞故障方面,该算法比自适应故障观测器算法具有更优的快速性和灵敏度.
In order to diagnose wind turbine pitch actuator faults quickly and accurately, an adaptive LPV fault observer is designed based on the established linear parameter varying (LPV) wind turbine system.Firstly, the wind disturbance and fault pair System stability, the limit conditions of the fault observer are extended to the LPV system, and the constraints of the adaptive LPV fault observer are obtained. Then, the LPV system is approximated by the convex decomposition technique, so that the solution of infinite linear matrix inequalities The problem is transformed into the problem of solving a finite number of linear matrix inequalities. Finally, the LMIs toolbox is used to solve the adaptive LPV fault observer gain and fault update gain. The simulation results show that in the process of sinusoidal fault of wind turbine pitch actuator, Compared with the adaptive fault observer algorithm, the proposed algorithm has better fastness and sensitivity than the faulty detector.