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混沌状态下永磁同步发电机的故障诊断--LMI 法研究*
Fault diagnosis for permanent magnet synchronous generator under chaos conditions：LMI approach*
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摘要: 本文以永磁同步风力发电机为研究对象，在两相同步旋转坐标系下建立了永磁同步发电机的数学模型。应用时间尺度和线性仿射变换建立了系统混沌模型，验证了系统在某些参数和工作条件下会出现混沌运动。随后在考虑系统不确定性的情况下设计了故障观测器，在系统发生故障时，通过所设计的故障观测器能对混沌状态下永磁同步发电机的故障做出准确估计。仿真结果表明基于线性矩阵不等式方法的故障观测器能够对系统故障做出快速准确的诊断。Abstract: The permanent magnet synchronous wind power generator is investigated, and its mathematical model is established in two-phase synchronous rotating coordinates. By a time scaling transformation and a linear affine transformation, the chaos model is obtained, and the chaos phenomena occur when the model parameters are in a certain range and under running conditions. Then, an uncertain nonlinear model of permanent magnet synchronous wind power generator is established, and a fault observer is designed. When faults occur, the fault observer can estimate the fault quickly and accurately. Simulation results show that the fault observer based on linear matrix inequality approach can diagnosis the fault rapidly and accurately.
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