Fault tolerant control of a five-phase permanent magnet synchronous machine using fuzzy logic approach

Abstract

The core contribution of this work lies in the exploration of fault tolerant control strategies for multiphase VFDs. The thesis presents a detailed analysis of various fault types that can occur in synchronous motors, emphasizing the need for effective fault detection and tolerance mechanisms. It introduces passive fault tolerant control, with an emphasis on fuzzy algorithms. Furthermore, this research investigates the application of direct torque control (DTC) and DTC with space vector pulse width modulation (DTC-SPWM) strategies for fault detection and tolerance in multiphase VFDs. The performance of these strategies is evaluated through simulation studies, considering different operating conditions such as motor speeds and load torques. The results highlight the robustness and effectiveness of the proposed fault detection algorithms, showcasing improved performance in terms of speed and torque tracking. Based on the findings ,th ethesi ssuggest sfutur eresearc hdirections .Thes einclude the hardware implementation of the fault detection methods with DTC and DTC-SPWM strategies, the extension of fault detection capabilities to detect multiple open switch and open phase faults, and the implementation of active fault tolerance mechanisms using space vector modulation.