DocumentCode :
3434993
Title :
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
Link To Document :
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