Robust Reconstruction of Current Sensor Faults for PMSM Drives in the Presence of Disturbances
Robust Reconstruction of Current Sensor Faults for PMSM Drives in the Presence of Disturbances
复制标题
存在干扰时 PMSM 驱动器电流传感器故障的鲁棒重建
DOI：
10.1109/tmech.2019.2942520
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发表时间：
2019-12
期刊：
影响因子：
--
通讯作者：
Jing He
中科院分区：
文献类型：
--
作者：
Gang Huang;Jinhua She;Edwardo Fumihiko Fukushima;Changfan Zhang;Jing He
在工业应用中，永磁同步电机(PMSM)驱动系统的可靠性和可用性越来越重要。系统中发生电流传感器故障可能会导致系统降级。因此，早期发现故障就成了一个重要的问题。然而，各种外界干扰严重影响了故障检测的准确性。提出了一种含有未知扰动的永磁同步电机驱动系统电流传感器故障的重构方法。为了抑制未知扰动对系统性能和故障重构的影响，设计了一种等效输入扰动方法，并设计了一个积分观测器，将故障从测量输出中近似分离出来，以消除干扰抑制。然后，针对存在电流传感器故障的抗扰系统设计了滑模观测器。并基于滑模等效控制方法对故障进行重构。该方法具有良好的故障重构性能，对时变的未知扰动具有较强的鲁棒性。仿真和实验验证了该方法的有效性。
The reliability and availability of a permanent magnet synchronous motor (PMSM) drive system are of increasing importance in industrial applications. Occurrence of current sensor faults in the system can lead to system degradation. Therefore, early detection of the faults has become an important problem. However, various exogenous disturbances seriously affect the accuracy of the faults detection. This paper presents a method of reconstructing current sensor faults for a PMSM drive containing unknown disturbances. An equivalent-input-disturbance approach is devised to reject the effects of unknown disturbances on system performance and reconstruction of faults And an integral observer is designed to approximately separate faults from the measured output to eliminate the interference to disturbance rejection. Then, a sliding-mode observer is designed for the disturbance-rejected system with current sensor faults. And the faults are reconstructed based on sliding-mode equivalent control methodology. The presented scheme has good performance in terms of faults reconstruction and is robust to time-varying unknown disturbances. Simulations and experiments validate the effectiveness of the method.
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影响因子：
4.4
作者：
G. Scarcella;G. Scelba;M. Pulvirenti;R. Lorenz
通讯作者：
G. Scarcella;G. Scelba;M. Pulvirenti;R. Lorenz
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
发表时间：
2017-12-06
期刊：
Sensors (Basel, Switzerland)
影响因子：
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DOI：
10.7498/aps.57.1465
发表时间：
2008-03
期刊：
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影响因子：
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影响因子：
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影响因子：
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作者：
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通讯作者：
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