SCIS & ISIS
SCIS & ISIS 2010
セッションID: FR-B1-3
会議情報
Neuro-PID Control for Electric Vehicle
*Sigeru OmatuMichifumi YoshiokaToru Fujinaka
著者情報
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抄録
In this paper we consider the neuro-control method and its application to control problems of an electric ve- hicle. 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.
著者関連情報
© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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