SCIS & ISIS
SCIS & ISIS 2010
Session ID : FR-B1-3
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Neuro-PID Control for Electric Vehicle
*Sigeru OmatuMichifumi YoshiokaToru Fujinaka
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
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.
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© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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