Fuzzy Based Direct Torque Control of Induction Motor for EV Application.

Abstract

Now an electric vehicle(EV) are being adopted a means of transportations. This EV is power by Battery system via electric motor for the purpose of propulsion. Among the electric motors induction motor is one of the widely used in electric vehicle system. Hence, speed and torque control of the induction motor is emerging topics which have been emphasized lots of attentions by researchers and scientist. Various methods of induction motor(IM) control which includes the state vector modulation(SVM) based direct-torque-control(DTC) and this DTC have been established the one of the best and efficient techniques of control IM drive-system. However, it is observed that conventional DTC use two controllers namely two level hysteresis and three level torque comparators for the generation of stator vector voltage which have lots of drawbacks. To overcome these drawbacks of DTC, adoption of fuzzy logic controller(FLC) replacing both the controllers have very bright future scope for smooth control torque of IM for  EV application. In this work, FLC based DTC control of IM drive modelled in Matlab Simulink Environment is presented. At the same time, the performances analysis of electromagnetic torque behaviors of the  of Conventional DTC and Fuzzy based DTC have been evaluated and compared. From the results of simulation, it is observed that FLC based DTC is much better that the Conventional DTC method as the former easily trackdowns the given reference torque and thereby efficiently improve toque-speed of IM drive. The behavior-response of Speed-torque of IM with FLC are much quicker cum faster and will  greatly  suitable for the torque changing application of  EV drive  in any form of road-conditions. In addition to this the proposed Fuzzy algorithms is very simple, robust and can be easily implemented on Microcontroller or in FPGA platform.