Auto-optimized fuzzy control of car-engines based on GA - art. no. 60420G

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.