Title :
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
fDate :
27 Jun-2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374640
