DocumentCode :
2757638
Title :
PID Control of Speed and Torque of Electric Vehicle
Author :
Omatu, Sigeru ; Yoshioka, Michifumi ; Kosaka, Toshihisa
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
fYear :
2009
fDate :
11-16 Oct. 2009
Firstpage :
157
Lastpage :
162
Abstract :
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 per cent 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.
Keywords :
adaptive control; electric vehicles; intelligent control; learning systems; neurocontrollers; process control; self-adjusting systems; three-term control; torque control; velocity control; PID control; intelligent control; learning ability; neural network; neurocontrol method; process control; proportional-plus-integral-plus-derivative control; self-tuning PID control scheme; speed control; torque control; Automotive engineering; Computer applications; Electric vehicles; Neural networks; Neurons; Process control; Proportional control; Three-term control; Torque control; Velocity control; electric vehicle control; neuro-PID; speed control; torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Engineering Computing and Applications in Sciences, 2009. ADVCOMP '09. Third International Conference on
Conference_Location :
Sliema
Print_ISBN :
978-1-4244-5082-4
Electronic_ISBN :
978-0-7695-3829-7
Type :
conf
DOI :
10.1109/ADVCOMP.2009.31
Filename :
5359516
Link To Document :
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