Improvement of speed control performance using PID type neurocontroller in an electric vehicle system

Author

Matsumura, Shigenori ; Omatu, Sigeru ; Higasa, Hiromasa

Author_Institution

Shikoku Res. Inst. Inc., Takamatsu, Japan

Volume

4

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

2649

Abstract

In order to develop an efficient driving system for electric vehicle (EV), a testing system using motors has been built to simulate the driving performance of EVs. In the testing system, the PID controller is used to control rotating speed of motor when the EV drives. In this paper, in order to improve the performance of speed control, a neural network is applied to tuning parameters of PI controller. It is shown,through experiments that a neural network can reduce output error effectively while the PI controller parameters are being tuned online

Keywords

electric propulsion; electric vehicles; neurocontrollers; road vehicles; three-term control; velocity control; PI controller parameters online tuning; PID type neurocontroller; electric vehicle system; motor rotation speed control; speed control performance; testing system; Automatic control; Control systems; DC motors; Electric vehicles; Error correction; Neural networks; Neurocontrollers; System testing; Three-term control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374640

Filename

374640