Auto-optimized fuzzy control of car engines based on GA

Yu-guang Chen; Zhi-yuan Zhang; Shi-li Liao; Xin-gang Chen

doi:10.1117/12.664546

2 May 2006 Auto-optimized fuzzy control of car engines based on GA

Yu-guang Chen, Zhi-yuan Zhang, Shi-li Liao, Xin-gang Chen

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60420G (2006) https://doi.org/10.1117/12.664546
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Yu-guang Chen, Zhi-yuan Zhang, Shi-li Liao, and Xin-gang Chen "Auto-optimized fuzzy control of car engines based on GA", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60420G (2 May 2006); https://doi.org/10.1117/12.664546

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