采用遗传算法的汽车发动机模糊控制研究

汽车发动机的参数具有离散性、非线性和不确定性，瞬态过程的过量空气系数和点火时刻难以精确控制。作者针对这一问题，设计了一种基于遗传算法的发动机模糊控制模型，讨论了发动机控制中的硬件平台的实现方式，并在实时在线仿真的基础上提出了采用遗传算法对模糊控制参数的自动寻优的方法。实验表明，基于这一控制方式，发动机的动力性和经济性指标有明显的提高。

Study On Engine Fuzzy Control With Genetic Algorithm

The excess air coefficient and spark advance angle of engine is diffi cult to control accurately due to the disperse, nonlinearity and uncertainty of the engine parameters. As to this issue, an engine fuzzy control model with gene tic algorithm is put forward. The realization method of the hardware platform fo r the engine control is discussed, and fuzzy control parameters oriented self-o p timization method is given based on the on line simulation and genetic algorithm . Experiment result shows that the dynamic indices and economic performance are significantly improved based on this control solution.