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Current Residual Vector-Based Open-Switch Fault Diagnosis of Inverters in PMSM Drive Systems

机译:基于电流残余矢量的永磁同步电机驱动系统逆变器开路故障诊断

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This paper presents an open-circuit (OC) fault diagnostic method of inverters in closed-loop controlled permanent magnet synchronous motor drive systems based on current residual vector (CRV). This method can get rid of effects of the load and the main controller to obtain reliable detection. The motor drive system is a hybrid system composed of discrete switching signal events and continuous current state variables, which evolves in certain law driven by discrete events. At the base of analyzing operation modes of the system, a mixed logical dynamic (MLD) model of the motor drive system is built to estimate motor currents. Consequently, the proposed fault diagnostic scheme is constructed by the healthy current estimator based on the MLD model in parallel with the plant. When an OC fault occurs, the CRV between the estimator and the plant will show featured amplitude and phase, and hence the fault can be detected. The method utilizes variables already used by the main controller, avoiding the use of extra sensors. During the implementation, amplitude threshold and phase sector are used in order to avoid effects of measurement errors, model parameter errors and noises, which improves the reliability and robustness. Simulation and experimental results validate the proposed diagnostic method, and the diagnostic duration can be reduced within a quarter of fundamental wave period.
机译:提出了一种基于电流残差矢量(CRV)的闭环永磁同步电动机驱动系统逆变器开路(OC)故障诊断方法。该方法可以消除负载和主控制器的影响,从而获得可靠的检测。电机驱动系统是一个混合系统,由离散的开关信号事件和连续的电流状态变量组成,该变量在某些定律的作用下由离散事件驱动。在分析系统的运行模式的基础上,建立了电动机驱动系统的混合逻辑动态(MLD)模型以估算电动机电流。因此,由健康电流估算器根据MLD模型与工厂并行构造提出的故障诊断方案。当发生OC故障时,估计器和设备之间的CRV将显示特征幅度和相位,因此可以检测到故障。该方法利用了主控制器已经使用的变量,从而避免了使用额外的传感器。在实施过程中,使用幅度阈值和相位扇区以避免测量误差,模型参数误差和噪声的影响,从而提高了可靠性和鲁棒性。仿真和实验结果验证了所提出的诊断方法的有效性,并且可以在四分之一的基波周期内缩短诊断时间。

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