Implementation of Intelligent Controller for Permanent Magnet Synchronous Motor

Abstract

The thesis deals with the implementation of intelligent controller for permanent magnet synchronous motor drive system in MATLAB/Simulink. With the introduction of permanent magnets of high flux density as well as a high coercivity in the late eighties, synchronous motors with permanent magnets became an attractive alternative for application in high performance variable speed drives. In the power range of a few kW to several tens of kW, the sinusoidal excited permanent magnet synchronous motor (PMSM) is preferred to brushless DC motor (BLDC).In the past few decades various control methods have been reported to control torque and speed of three phase PMSM. In the present work the field oriented control is used for the operation of the drive. It allows a decoupled control of electromagnetic torque control and the motor flux, and hence the PMSM is operated as separately excited DC motor. Therefore, it is preferred to use it in high performance motor applications. The operations of PMSM with different controllers like PI, fuzzy and predictive current controllers (PCC) are analyzed for speed control. A complete mathematical model of the PMSM drive has been developed and implemented in MATLAB/Simulink. The operation of the drive with conventional PI controller is initially studied and efforts have been made to improve the dynamic performance of the drive using Fuzzy and Predictive control. The necessary rule base of fuzzy controller is designed and implemented using fuzzy tool box in MATLAB.