一种优化内燃机性能的自学习控制方法

Optimizing Performance of Internal Combustion Engine by Self Learning Control

提出了一种可在内燃机电子控制中用于优化内燃机性能的自学习控制方法．这种自学习控制的特点是：当发动机运行工况稳定或变化缓慢时，对发动机进行自适应控制；当自适应控制过程达到稳定状态时，自动记录此时发动机的工况参数和被控制参数的值，并以同样的方法对发动机的所有工况进行逐点控制，这样就可以获得被控制参数的控制表（ ＭＡＰ） ，在获得该ＭＡＰ 之后，便可以根据此ＭＡＰ实施开环控制．以汽油机空燃比控制为实例，详细阐明了这种控制方法的构成细节、特点．应用该控制方法后发动机的性能有所提高、功率增加。

A self learning control method is applied to optimize performance of internal combustion engine. Self learning is based on feedback data of optimal controlled parameter on different operation load and speed; they are updated until the desired engine performance is obtained by adjustment of controlled parameter. An example of air fuel ratio control in a carburetor gasoline engine is given, including the description of the control process details, the characteristics and test results.