PERFORMANCE OF INDUCTION MOTOR AND BLDC MOTOR WITH FUZZY LOGIC CONTROLLER FOR EV APPLICATIONS

Electrical Engineering

In this paper, the performance evaluation of the Induction motor and BLDC motor with fuzzy logic Controller is simulated which can be used for Electric Vehicle related Applications to control the speed. Among electric motor Brushless DC motor (BLDC) is widely used, especially in automotive systems. This motor is widely used as a driving force in electric vehicles. BLDC motor is chosen because it has the characteristics of wide speed range, high efficiency, and reliability. Besides, BLDC motors require less maintenance and can operate quieter than DC motors. Even though it has many advantages, in its application the use of BLDC motors in electric vehicles is often less than optimal. There are still several flaws in using traditional control systems like PI, PD, and PID, especially when it comes to adapting to changes in load and track conditions. In this work, a control system was created using fuzzy logic to control the speed of the BLDC motor. The Fuzzy-PID control can offer better and more stable performance than utilizing the standard PI control, according to the findings of the tests that have been conducted. Both an induction motor and a BLDC motor with a fuzzy logic controller can be used to assess the performance of the EV in terms of speed regulation. The performance of the motor which regulates the better speed can be evaluated by using Matlab/Simulink 2018a Software.

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