Fuzzy Logic Based Space Vector Modulation Direct Torque Control Of Induction Motor For Electric Vehicle Application (Case: Daewoo Damas ????)

Abstract

Recently a lot of effort has been focused on the development of high performance EV drives. This is mainly; to reduce the environmental pollution due to emissions from internal combustion engine driven vehicles, to replace fossil fuels with a renewable energy source due to its fast depletion. Also, it is used to prevent economic damage due to climate change. Induction motor widely used for EV application because of its good self-starting capability, simple and rugged structure, low cost and reliability. In order to have a good dynamic and transient response of the drive an appropriate control algorithm is required. In this regard, direct torque control-based space vector modulation (DTC-SVM) is proposed for the speed control of the induction motor using fuzzy logic controller for the propulsion of EV Daewoo Damas ????. In order to achieve this, the mathematical modeling of the three-phase induction motor, SVM, and vehicle dynamics mathematical modeling are done. Also, the system is simulated in MATLAB software tool. The DTC-SVM scheme is a high-performance control of IM drives to improve the ripples of torque and flux in steady state, which is drawback of conventional DTC. DTC-SVM has three controllers; speed controller, flux controller, and torque controller. To improve the performance of the motor fuzzy speed controller proposed and compared with PID controller their steady state and transient response is analyzed for different set speed of the motor. From the result it can be observed that with fuzzy speed controller a better dynamics response can be achieved with 0% overshoot and 0.05sec settling time. Generally, the simulation result show that the response of motor speed with the fuzzy speed controller is more robust, and reaches to the reference value faster than a PID speed controller and also it has low torque ripple of ??2 Nm.