Speed Control of Electric Drives Using Soft Computing Techniques

rahul malhotra; saloni gupta

doi:10.37591/joci.v1i1-2-3.3069

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 computingtechniques, viz., fuzzy control are ways for controlling a system without the need of mathematical model. Ituses the experience of people’s knowledge to form its control rule base. There are two techniques to controlthe speed of electrical drives. The traditional technique uses hardware by the knowledge of process and thetuning of controller whereas the dynamic model technique is a soft computing technique usually done bycomputer simulation before going for control hardware. This paper presents the implementation ofintelligent ways to control the speed of synchronous motor and the induction motor. Direct torque control ofinduction motor and synchronous motor were implemented in MATLAB/SIMULINK. SIMULINK is thesoftware for modeling, simulating and analyzing dynamical systems. It supports linear and non-linearsystems, modeled in continuous time, sampled time or a hybrid of the two.Keywords: DTC, induction motor, speed, torque, flux