Sliding Mode Observer-Based Current Sensor Fault Reconstruction and Unknown Load Disturbance Estimation for PMSM Driven System.
Sliding Mode Observer-Based Current Sensor Fault Reconstruction and Unknown Load Disturbance Estimation for PMSM Driven System.
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PMSM 驱动系统基于滑模观测器的电流传感器故障重构和未知负载扰动估计
DOI：
10.3390/s17122833
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发表时间：
2017-12-06
期刊：
影响因子：
--
通讯作者：
Lin Y
中科院分区：
文献类型：
--
作者：
Zhao K;Li P;Zhang C;Li X;He J;Lin Y
针对永磁同步电机（PMSM）驱动系统，提出了一种重构电流传感器故障并估计未知负载扰动的新方案。首先，将原永磁同步电机系统转化为两个子系统，第一个子系统具有未知的系统负载扰动，与传感器故障无关，第二个子系统具有传感器故障，但不受未知负载扰动的影响。通过引入一个新的状态变量，将存在传感器故障的增广子系统转化为存在执行器故障的增广子系统。其次，设计了两个滑模观测器：在存在未知负载扰动的子系统中，利用第一个滑模观测器估计未知负载扰动;在存在传感器故障的增广子系统中，利用第二个滑模观测器重构传感器故障。通过求解线性矩阵不等式（LMI），给出了所提出的滑模控制器的增益及其稳定性分析。最后通过仿真和实验验证了该方案的有效性。仿真结果表明，该方法能够重构电流传感器故障，并估计出永磁同步电机驱动系统的未知负载扰动。
This paper proposes a new scheme of reconstructing current sensor faults and estimating unknown load disturbance for a permanent magnet synchronous motor (PMSM)-driven system. First, the original PMSM system is transformed into two subsystems; the first subsystem has unknown system load disturbances, which are unrelated to sensor faults, and the second subsystem has sensor faults, but is free from unknown load disturbances. Introducing a new state variable, the augmented subsystem that has sensor faults can be transformed into having actuator faults. Second, two sliding mode observers (SMOs) are designed: the unknown load disturbance is estimated by the first SMO in the subsystem, which has unknown load disturbance, and the sensor faults can be reconstructed using the second SMO in the augmented subsystem, which has sensor faults. The gains of the proposed SMOs and their stability analysis are developed via the solution of linear matrix inequality (LMI). Finally, the effectiveness of the proposed scheme was verified by simulations and experiments. The results demonstrate that the proposed scheme can reconstruct current sensor faults and estimate unknown load disturbance for the PMSM-driven system.
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