Speed Control Analysis of an Electrical Vehicle by Using Fuzzy- PID and ANFIS Controllers

Abstract

Electrical vehicles (EVs) will be the transportation system <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">,</sup> s future when it overcomes some disadvantages like battery life., charging stations., and speed control limitations. In EV., the brushless DC motor is often used because of its high torque and high efficiency. however., it <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">,</sup> s difficult to control the speed of the DC motor. This paper presents the speed control of an EV by using different controlling methods such as PID (Proportional-Integral-Derivative)., Fuzzy-PID., and ANFIS (Adaptive-Neuro Fuzzy Inference System) controllers. The comparison of the results of all three techniques is discussed in this paper. From the results of the simulation., it can be noticed that the PID-Fuzzy offers better speed control than the conventional PID and augmenting ANFIS with PID gives better results than the PID-Fuzzy and PID alone.