Archives

Fault Tolerant Speed Control of Five Phase Induction Motor with Fuzzy Logic Controller for Electric Vehicle


Chandani Gor and Varsha Shah
Abstract

The multiphase induction motor is a highly preferable choice for the electric vehicle application where the reliability and safety of passengers are one of the major concerns. In this paper a fuzzy logic based novel speed controller in presented, which deals with fault tolerant operation of five phase induction motor (FPIM). The rotor oriented field control (RFOC) scheme is employed for controlling the FPIM. The open circuit fault is modelled applying back EMF calculation in open phase, which minimizes the controller reconfiguration under fault. The inner loop control is achieved using hysteresis controllers due to their simplicity and ease of implementation. The outer speed controller action is designed through a robust fuzzy logic controller with fine tuned membership function to generate optimal torque reference. The complete RFOC scheme for faulted FPIM is built in MATLAB/Simulink incorporating fuzzy logic controller. The comparative analysis between fuzzy logic speed controller (FLSC) and the conventional proportional-integral (PI) controller is presented for its dynamic response, robustness and parameter sensitivity under healthy and faulty condition of FPIM. Different speed tracking performances under healthy, faulty and fault tolerant mode of operation are enhanced using proposed FLSC as compared to PI controller.

Volume 12 | 03-Special Issue

Pages: 900-914

DOI: 10.5373/JARDCS/V12SP3/20201333