—Speed controls design of electric vehicle (EV). The control circuit using PSO, Fuzzy& PI controller is proposed. Driven EV's is powered by an electric motor, the EV is powered by PMSM. Electric vehicle is simulated in MATLAB SIMULINK. Simulation tools are great assistance to engineers and researchers to reduce product-development cycle time, improve the quality of the design, and simplify the analysis without costly and time-consuming experiments. There are many power electronic converters and motor drives connected together to form the electrical system of an Electric Vehicle. In this paper, we have presented a modeling tool that has the advantages of utilizing capabilities of the PMSM software in detailed simulations of converters, motor drives, and electric machines. In addition, equivalent electrical models of Electric Vehicle drive system. This paper also gives a brief idea of PMSM validity as an Electric Vehicle simulation tool. This paper, simulation PMSM model to apply Electric Vehicle drive system. PMSM drive system is described and analyzed due to its importance in many applications especially in Electric Vehicle applications. Applications due to their high efficiency, low inertia and high torque to volume ratio. A closed loop control system with a PI control, Fuzzy and PSO in the speed loop with current controllers. The simulation circuits for PMSM, inverter, speed and current controllers include all realistic components of the drive system. Simulation results for SPWM control schemes associated with current controllers are given for two speeds, one below rated and another above rated speed. In this paper and it has been shown that the model is suitable for transient as well as steady state condition. These results also confirmed that the transient torque and current never exceed the maximum permissible value.
—Electric vehicle drive system, permanent magnet synchronous motors (PMSM), PI controller, fuzzy logic (FL) and particle swarm optimization (PSO).
The authors are with School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Hubei, China (e-mail: email@example.com).
Cite: A. Salam Waley, Chengxiong Mao, and C. Dan Wang, "Artificial Optimal Fuzzy Control Strategy for Electric Vehicle Drive System by Using Permanent Magnet Synchronous Motor," International Journal of Engineering and Technology vol. 9, no. 1, pp. 50-57, 2017.