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.
Highlights
Permanent magnet synchronous motors (PMSMs) are attractive for electric vehicle and railway traction drive applications thanks to their small volume, light weight, high efficiency, high power density, rugged construction and faster response [1,2]
PMSM traction systems are influenced by the circumstances of the application environment such as vibration and shock, low and high temperature, humidity and dust, etc., which lead to faults that could directly result in deterioration of the torque performance, and even seriously affect the safety of electric vehicles and railway trains
In αβ coordinates, based on the motor model with active flux linkage, a current sliding mode observer is constructed with specific equivalent control methodology to eliminate the effects of unknown disturbances on the system, and the phase current sensor faults are reconstructed by means of an adaptive method
Summary
Permanent magnet synchronous motors (PMSMs) are attractive for electric vehicle and railway traction drive applications thanks to their small volume, light weight, high efficiency, high power density, rugged construction and faster response [1,2]. The technology of residual generation by means of a filter or observer for fault detection and isolation cannot directly estimate the failures, and this may cause problems such as omission and misjudgment if the threshold chosen is not suitable, so in practical engineering applications, fault diagnosis systems should have higher sensitivity to small and slow-variation faults, and at the same time, they should be robust to various uncertainties, so as to reduce the rates of false positives and missed fault reports. In αβ coordinates, based on the motor model with active flux linkage, a current sliding mode observer is constructed with specific equivalent control methodology to eliminate the effects of unknown disturbances on the system, and the phase current sensor faults are reconstructed by means of an adaptive method. The feasibility and effectiveness of the proposed method are verified by simulation and experimental tests on the RT-LAB platform
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