Estimation of sensor faults and unknown disturbance in current measurement circuits for PMSM drive system
Estimation of sensor faults and unknown disturbance in current measurement circuits for PMSM drive system
复制标题
PMSM 驱动系统电流测量电路中传感器故障和未知干扰的估计
DOI：
10.1016/j.measurement.2019.01.076
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发表时间：
2019-04
期刊：
影响因子：
5.6
通讯作者：
Jing He
中科院分区：
文献类型：
--
作者：
Gang Huang;Edwardo F. Fukushima;Jinhua She;Changfan Zhang;Jing He
电流传感器故障会导致永磁同步电动机（PMSM）驱动系统性能下降。故障的准确估计已成为容错控制的一个重要问题。然而，测量电路中的未知干扰极大地增加了估计的难度，严重影响了估计的性能。提出了一种新的永磁同步电机内部驱动系统电流测量电路中传感器故障和未知干扰的估计方法。首先建立了包含α β轴电流虚拟传感器故障和未知扰动的系统模型。然后通过一阶低通滤波器将模型转化为执行器故障模型。通过坐标变换实现了故障与干扰的解耦。基于新的解耦系统设计了滑模观测器。基于滑模等效控制方法，精确估计电流传感器的单一故障和同时故障以及未知干扰。最后通过实验验证了该方法的有效性。
Current sensor faults leads to system degradation of a permanent magnet synchronous motor (PMSM) drive. Accurate estimation of the faults for fault-tolerant control has become an important issue. However, unknown disturbance in measurement circuits greatly aggravates the difficulty of the estimation and seriously influences the performance of the estimation. This paper presents a new estimation method of sensor faults and unknown disturbance in current measurement circuits for an interior PMSM drive system. The system model, which contains faults of virtual sensors for α β axis currents and the unknown disturbance, is first constructed. Then, the model is transformed into a model with actuator faults by a first-order low-pass filter. Moreover, the faults and disturbance in the model are decoupled by coordinate transformation. And sliding-mode observers are designed based on the new decoupled system. Single and simultaneous faults of current sensors and an unknown disturbance are accurately estimated based on sliding-mode equivalent control methodology. An experiment is carried out to demonstrate the validity and effectiveness of the method.
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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
发表时间：
2017-12-06
期刊：
Sensors (Basel, Switzerland)
影响因子：
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作者：
Zhao K;Li P;Zhang C;Li X;He J;Lin Y
通讯作者：
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影响因子：
8.4
作者：
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通讯作者：
Glowacz, Adam
DOI：
10.1109/iecon.2016.7793136
发表时间：
2016-10
期刊：
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
影响因子：
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作者：
Rishi Menon;Arvind H Kadam;N. A. Azeez;S. Williamson
通讯作者：
Rishi Menon;Arvind H Kadam;N. A. Azeez;S. Williamson
DOI：
10.1016/j.egypro.2017.12.630
发表时间：
2017-12
期刊：
Energy Procedia
影响因子：
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作者：
Nana Zhou;Hongwen He;Zhentong Liu;Zheng Zhang
通讯作者：
Nana Zhou;Hongwen He;Zhentong Liu;Zheng Zhang
用于结构健康监测的传感器验证方法的开发：全面审查
影响因子：
5.6
作者：
Yi Ting-Hua;Huang Hai-Bin;Li Hong-Nan
通讯作者：
Li Hong-Nan