Torque Control of Electric Vehicle Testing System by Neuro-PID Controller

Abstract

For the purpose of developing an efficient driving system of electric vehicles (EVs), a testing system using motors has been devised, which enables us to simulate the driving performance of EVs to be simulated. In this system, running resistance of the EV is realized by torque control of the motor operated as a generator. Nowadays, torque control is performed by using conventional PID controllers, and reasonably good results can be obtained. However, when using conventional PID controllers, it generally needs much effort and time to tune the PID gains.
In this paper, in order to avoid the above problems and improve the performance of torque controllers, a method is proposed by using neural networks. At first, the testing system and its conventional PID controller are explained. Then a neuro-controller is described to tune the PID controller gains. Finally, applying the neuro-controller to the real testing system, we examine the effectiveness of the proposed algorithm.