Direct Torque Control of Induction Motor Using Fuzzy Logic Controller

Abstract

This paper describes direct torque control (DTC) scheme of induction motor (IM) and its comparative study using intelligent techniques under varying dynamic conditions are discussed. In conventional DTC PI controller is used in the speed controller. PI controller is more suitable in steady state condition and for linear system. But since DTC along with IM is mostly nonlinear, fuzzy controller will be more suitable. Fuzzy controller performs well in nonlinear systems than PI controller. In this paper apart from fuzzy controller ANN will be proposed to provide better motor dynamic performance and the look up table is now replaced by this ANN. The advantage of using ANN is that, in classical DTC look up table is used to select switching states, thus size requirement will increase with some advanced control. ANN will take less memory and is more reliable. In order to test performance of the DTC scheme for IM drive using intelligent techniques, a complete simulation model is developed using MATLAB/simulink.