基于免疫原理的发动机自寻优模糊控制研究

Study on Self-regulating Fuzzy Control Based on Immune Principle for a Car-engine

针对发动机参数具有离散性、非线性和不确定性,采用常规的平均值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,提出了一种带免疫修正因子的自寻优模糊控制。该模型很好地融合了遗传算法的模糊控制参数离线寻优和免疫修正因子在线调节优势。讨论了实时仿真基础上,采用遗传算法对模糊控制参数的自动寻优。探讨了采用免疫反馈原理实时调节模糊控制器的免疫修正因子。实验表明,发动机的动力性和经济性指标得到了明显提高。

The parameters of a car-engine were discreteness; nonlinear and uncertain characteristics, so a general average control model could not control accurately the excess air coefficient and the spark advance angle in dynamic procedure, A selfoptimizing fuzzy control with an immune correction coefficient was proposed. It absorbed well the advantages both good off-line optimizing function of fuzzy control parameters in genetic arithmetic and good on-line regulating function with an immune correction coefficient. The fuzzy control parameters optimizing by the real-time imitating base on GA was probed. It was discussed as well that the immune correction coefficient of fuzzy controller was real-time regndated base on immune feedback. The experi- ment results demonstrated that the dynamic and economic performances were all improved obviously.