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Design and Simulation of Fuzzy Logic Based Speed Control of Electrical Vehicle with Induction Motor Taking Core Loss and Stray Load Losses into Account

Sadia Nahar, Md. Kamrul Hassan, Mohammad Abdul Mannan

Abstract


In modern technology, electrical differentials to design electrical vehicle are getting popular for its simplicity, faster response, accurate control capability and other facilities. The controller design for the distinctive motors is a captivating and challenging work to acquire, sought execution appropriately. For this, different kind of controller is used to get accurate results. For induction motor, it is very important to control the speed and torque to get smooth control application. Field oriented control aids the factor and empowers independent control of speed and torque by building up an autonomous relationship, which is created due to consideration of core loss and stray load losses while modeling induction motor, which is neglected in most of the works. Here, induction motor is modeled with the fuzzy logic controller for more accuracy and simplicity. MATLAB/Simulink is used to execute the simulation results, where all the simulation results show that smooth, exact and vigorous performance is achievable with the proposed controller.

 

Keywords: Electrical vehicle (EV), induction motor (IM), field oriented control (FOC), fuzzy logic controller (FLC)

Cite this Article

Sadia Nahar, Md. Kamrul Hassan, Mohammad Abdul Mannan. Design and Simulation of Fuzzy Logic Based Speed Control of Electrical Vehicle with Induction Motor Taking Core Loss and Stray Load Losses into Account.  Journal of Power Electronics & Power Systems. 2017; 7(1): 41–48p.


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