An adaptive neural PID controller for torque control of hybrid electric vehicle

Author

Yun Zhang ; Xiumin Yu ; Mingshuang Bi ; Sina Xu

Author_Institution

Coll. of Automobile Eng., Jilin Univ., Changchun, China

fYear

2011

fDate

3-5 Aug. 2011

Firstpage

901

Lastpage

903

Abstract

An adaptive neural PID controller for torque control of hybrid electric vehicle is presented in this paper. In this controller the PID gains are tuned automatically by the neural network in an on-line way. In addition, the relative learning algorithms of the neural PID controller are gived. At last, simulation and experiment results based on an application of the torque control system are provided. The experimental results are compared to those of a conventional PID controller, it can be observed that the error has been reduced significantly using the neural PID controller.

Keywords

adaptive control; hybrid electric vehicles; learning (artificial intelligence); neurocontrollers; three-term control; torque control; PID controller; adaptive controller; hybrid electric vehicle; learning algorithms; neural network; torque control; Automotive engineering; Educational institutions; Hybrid electric vehicles; Intelligent control; Torque; Torque control; adaptive neural PID controller; hybrid electric vehicle; learning algorithms of the neural PID controller; torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2011 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-9717-1

Type

conf

DOI

10.1109/ICCSE.2011.6028782

Filename

6028782