Neuro-PID Control for Electric Vehicle
Shigeru Omatu*, Michifumi Yoshioka**, and Toru Fujinaka***
*Osaka Institute of Technology, 5-16-1 Omiya, Asahi-ku, Osaka 535-8585, Japan
**Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, Sakai 599-8531, Japan
***Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima 739-8524, Japan
In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.
-  D. E. Rumelhart, J. L. McClelland, and PDP Group, “Parallel Distributed Processing,” Explorations in the Microstructure of Cognition, Vol.1, MIT Press, Massachusetts, 1987.
-  S. Omatu, K. Maruzuki, and Y. Rubiyah, “Neuro-Control and Its Applications,” Springer, London, 1996.
-  S. Omatu, “Neuro-Control Applications in Real-World Problems,” Proc. of the 10th Yale Workshop on Adaptive and Learning Systems, pp. 92-97, Yale University, New Haven, 1998.