Fuzzy Logic Based-Active Fault Tolerant Control of Speed Sensor Failure for Five-Phase PMSM

Abstract

The present study seeks to investigate the problem of fault tolerant speed control of the five-phase Permanent Magnet Synchronous Motor (PMSM) in the presence of speed sensor fault. Indeed, the sensors which are the most sensitive elements play a significant role in the closed loop control. In this context, an active Fault Tolerant Control (FTC) is developed based on fuzzy controller. Using the Sliding Mode Observer (SMO), the reconfiguration scheme which alternates between the measured speed value and the estimated one is proposed during failure occurrences so as to preserve the best control performance. The five-phase PMSM is monitored by a fuzzy logic controller to reduce disturbances that can occur under fault conditions. The two techniques which are used to illustrate consistency in the proposed approach are the following: the sliding mode with encoder or without encoder-based control and the fuzzy logic control for efficient decision sent to the field-oriented control. Simulation tests, in terms of the measured and the estimated speed responses, have been carried out on the five phase PMSM drive. The results demonstrate that the proposed FTC scheme can validate the proposed FTC strategy and guarantee service continuity.