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针对风力机桨距角系统出现的时变偏差故障问题,在传统观测器故障估计算法的基础上提出了自适应凸多面体观测器结构及改进算法.在获取估计的故障信号之后,结合实时可测的调度变量和线性矩阵不等式技术设计了双层凸多面体LPV(linear parameter varying)控制器.该方法不仅消除了传统单层结构模型存在的线性化偏差,改善了系统的线性化程度,保障了控制器对故障的抑制效果,其中观测器和控制器分开设计处理还保障了各自的性能,简化了设计过程.仿真结果表明该方法可以实时有效的解决风力机桨距角系统容错控制问题.“,”In view of the time-varying bias faults of a wind turbine pitch angle system,we propose an adaptive convex polyhedron observer and an improved fault estimation algorithm on the basis of the traditional fault observer.We design a linear parameter varying (LPV) fault-tolerant controller of the double convex polyhedron on the premise of obtaining the estimated fault signal by combining real-time measurable scheduling variables and the linear matrix inequality technique.This method not only eliminates the linearization error of the traditional model of the single-layer structure but also improves the linearization degree of the system and guarantees the inhibiting effect of the controller on faults.We design the fault diagnosis observer and the output feedback fault-tolerant controller separately and consider their performances simultaneously to simplify design procedures.Simulation results show the effectiveness of the proposed method.