Modeling and Direct Torque Control of Induction Motor by Using Hybrid Control Technique

In this paper, an adaptive neuro fuzzy interference (ANFIS) based hybrid field oriented speed controlling of an induction motor is proposed. The proposed hybrid field oriented speed controller results attractive performance of induction motor with the potential features of both Artificial Neural network (ANN) and Fuzzy Logic Controller (FLC). In this topology the Artificial Neural Network (ANN) used to estimate the suitable inputs to control the system and Fuzzy Logic Controller used to evaluating the system inputs in terms of logic variables. In the proposed Direct Torque Controller (DTC) scheme the actual motor torque and change in torque is possess through the proposed adaptive neuro fuzzy interference system. Then the speed of the induction motor is controlled by using the controlled electromagnetic torque i.e.,output of the ANFIS controller. The entire proposed system is implemented in MATLAB/SIMULINK environment. And simulation results are also presented to demonstrate the attractive performance of the proposed ANFIS based DTC speed control of the induction motor. And also the comparative steady and dynamic performance of conventional Fuzzy Logic Controller and ANFIS based controller is presented.