基于遗传算法的发动机自寻优模糊控制

针对汽车发动机参数具有离散性、非线性和不确定性,采用传统控制模型难以精确控制瞬态过程的过量空气系数和点火时刻的问题,提出了一种基于遗传算法的发动机自寻优模糊控制模型.设计了实现该控制模型的嵌入式控制器,讨论了实时在线仿真基础上,采用遗传算法对模糊控制参数的自动寻优.实验表明,发动机动力性和经济性指标取得到了明显提高,以及控制模型在降低燃油消耗方面具有明显的优势.

One Auto-optimized Fuzzy Control of Car-engines Based on GA

One new auto-optimized fuzzy control model of car-engines based on genetic arithmetic was introduced aiming at the problem that the parameters of car-engine are of the discreteness, the nonlinear and the uncertain characteristics, with which it is difficult to control accurately the excess air coefficient and the spark advance angle in dynamic procedure when using a conventional control model. The rule of the design scheme of the controller achieving the model based on embedded operating system is discussed. Further more, it is probed that the fuzzy control parameters are optimized automatically using GA based on on-line real-time simulation. The results of experiments show that the dynamic indexes and the fuel economy indexes are all improved greatly and the advantage of the model on reducing fuel consumption is obvious.