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Proceedings Paper

Auto-optimized fuzzy control of car engines based on GA
Author(s): Yu-guang Chen; Zhi-yuan Zhang; Shi-li Liao; Xin-gang Chen
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Paper Abstract

Because the parameters of car-engines are of the discreteness, nonlinear and uncertain characteristics, a conventional control model can not accurately control the excess air coefficient and the spark advance angle in dynamic procedures. A new auto-optimized fuzzy control model based on genetic arithmetic was introduced. The controller design scheme based on using an embedded operating system to achieve such a control model was discussed. Based on a real-time simulation, using GA resulted in the fuzzy control parameters being optimized automatically. The results of experiments showed that the dynamic indexes and the fuel economy indexes can be improved greatly. The model has the obvious advantage of reducing fuel consumption.

Paper Details

Date Published: 2 May 2006
PDF: 6 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60420G (2 May 2006); doi: 10.1117/12.664546
Show Author Affiliations
Yu-guang Chen, Chongqing Institute of Technology (China)
Zhi-yuan Zhang, Chongqing Institute of Technology (China)
Shi-li Liao, Chongqing Institute of Technology (China)
Xin-gang Chen, Chongqing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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