DocumentCode :
354206
Title :
A neuron controller with self-tuning gain for anti-lock braking systems
Author :
Ning, Wang ; Chongyang, Zhou
Author_Institution :
Res. Inst. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1018
Abstract :
By analysing the dynamic model of a wheel under braking, and based on the neuron model and neuron control method given by Wang Ning et al. (1991), a new neuron model-free controller with self-tuning gain for the anti-lock braking system (ABS) is proposed in this paper. Simulation tests of the ABS using the neuron controller were made. It is shown that good performances of the anti-lock braking system were obtained under various conditions of road surfaces. This new control method is very simple and suitable for practical use
Keywords :
automobiles; braking; dynamics; neurocontrollers; self-adjusting systems; anti-lock braking systems; automobiles; dynamic model; model free control; neurocontroller; self-tuning gain; Control system synthesis; Control systems; Industrial control; Neurons; Process control; Roads; Testing; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863389
Filename :
863389
Link To Document :
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