Indirect Field Oriented Control of Induction Motor Drive by Using Fuzzy Logic Based Controller

Abstract

This research presents the theory, design and simulation of a fuzzy logic based controller used for an indirect field oriented controlled three phase induction motor (IM). Field Oriented Control (FOC) theory is the base of special control method for induction motor drives. With this theory induction motors can be controlled like a separately excited dc motor. This method enables the control of field and torque of induction machine independently by manipulating the corresponding oriented quantities. Induction motor is modeled in stationary reference frame in term of dq form. Three speed control techniques, Direct, Scalar and conventional PD are used to compare the performance of the control system with fuzzy logic controller. The models are carried out using MATLAB/SIMULINK. The simulation results demonstrate that the performance of the Indirect Field Oriented Control (IFOC) technique with fuzzy logic controller is better, especially with dynamic disturbances than that for the other three types of control. Besides that the research focuses on studying the effect of some fuzzy controller parameters on indirect field oriented control of an induction motor. Those parameters include the shape and number of linguistic variables of membership functions (MFs). Only Triangular, Gaussian and Bell membership functions are considered for the shape. The fuzzy controller uses both the speed error and its rate of change as input, and electromagnetic torque as an output in a relationship mapped by a fuzzy rules table.