Improvement of speed control performance using PID type neurocontroller in an electric vehicle system
Conference
·
OSTI ID:418649
- Shikoku Research Inst. Inc., Takamatsu (Japan)
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 (Proportional Integral Derivative) 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 PID controller. It is shown, through experiments that a neural network can reduce output error effectively while the PID controller parameters are being tuned online. 6 refs.
- OSTI ID:
- 418649
- Report Number(s):
- CONF-9406416--; ISBN 0-7803-1901-X
- Country of Publication:
- United States
- Language:
- English
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