基于遗传算法参数辨识的汽油机各缸空燃比均匀性控制

Individual Cylinder Air-Fuel Ratio Balance Control Based on Genetic Algorithm Identification

通过建立各缸空燃比不均匀的产生及传递模型,提出了一种利用改进遗传算法进行参数辨识的方法。新方法只需一个宽域氧传感器(universal exhaust gas oxygen sensor,UEGO)便能完成参数辨识,大幅度简化试验过程的同时能显著降低试验成本。结合卡尔曼滤波算法建立的各缸空燃比观测器,构建了平衡各缸空燃比的反馈控制系统。GT-Power与Simulink联合仿真结果表明:新方法能将各缸空燃比差异从原来的±10%减至±1%以内。

A genetic algorithm identification method and model to produce and transfer cylinder-to- cylinder AFR variation was proposed,thus in stead of many UEGO only one was needed , so the experiment become much simplified and the cost could be significantly reduced. Then a feedback AFR balance control system was set up using individual cylinder AFR observer based on Kalman filtering algorithm. The integrated simulation of GT-Power and Simulink shows that the AFR variation cylinder-to-cylinder can be reduced from ±10% to±1% by using this method.