Neuro-control and Its Applications to Electric Vehicle Control

Authors:
Sigeru Omatu
Affiliations:
Graduate School of Engineering, Osaka Prefecture University, Nakaku, Sakai, Osaka, Japan 599-8531
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

Citing 7
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Abstract

Neuro-control which adopts neural network architectures to synthesis of control has been summarized and its application to electric vehicle control is developed in this paper. 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. In Japan about eighty four per cent of the process industries have used the PID control. Using the learning ability of the neural network, we will show the self- tuning PID control scheme (neuro-PID) and the real application to an electric vehicle control. environment.