Speed Control of Electric Drives Using Soft Computing Techniques

Abstract

The speed control of electric drives is a challenging engineering problem. The direct torque control (DTC) method is characterized by its simple implementation and a fast dynamic response. Soft computing techniques, viz., fuzzy control are ways for controlling a system without the need of mathematical model. It uses the experience of people’s knowledge to form its control rule base. There are two techniques to control the speed of electrical drives. The traditional technique uses hardware by the knowledge of process and the tuning of controller whereas the dynamic model technique is a soft computing technique usually done by computer simulation before going for control hardware. This paper presents the implementation of intelligent ways to control the speed of synchronous motor and the induction motor. Direct torque control of induction motor and synchronous motor were implemented in MATLAB/SIMULINK. SIMULINK is the software for modeling, simulating and analyzing dynamical systems. It supports linear and non-linear systems, modeled in continuous time, sampled time or a hybrid of the two.

Keywords: DTC, induction motor, speed, torque, flux