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