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永磁同步电机驱动系统的电流传感器故障重构

Current Sensor Fault Reconstruction for PMSM Drives.

作者信息

Huang Gang, Luo Yi-Ping, Zhang Chang-Fan, He Jing, Huang Yi-Shan

机构信息

School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China.

College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China.

出版信息

Sensors (Basel). 2016 Jan 30;16(2):178. doi: 10.3390/s16020178.

Abstract

This paper deals with a current sensor fault reconstruction algorithm for the torque closed-loop drive system of an interior PMSM. First, sensor faults are equated to actuator ones by a new introduced state variable. Then, in αβ coordinates, based on the motor model with active flux linkage, a current observer is constructed with a specific sliding mode equivalent control methodology to eliminate the effects of unknown disturbances, and the phase current sensor faults are reconstructed by means of an adaptive method. Finally, an αβ axis current fault processing module is designed based on the reconstructed value. The feasibility and effectiveness of the proposed method are verified by simulation and experimental tests on the RT-LAB platform.

摘要

本文研究了一种用于内置式永磁同步电机(PMSM)转矩闭环驱动系统的电流传感器故障重构算法。首先,通过新引入的状态变量将传感器故障等效为执行器故障。然后,在αβ坐标系中,基于具有有源磁链的电机模型,采用特定的滑模等效控制方法构建电流观测器以消除未知干扰的影响,并通过自适应方法重构相电流传感器故障。最后,基于重构值设计了αβ轴电流故障处理模块。通过在RT-LAB平台上的仿真和实验测试验证了所提方法的可行性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d7b/4801555/9bcaa66da7fb/sensors-16-00178-g001.jpg

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