RBF网络整定的PID控制器在发动机空燃比控制中的应用

New Controller Combined Conventional PID Controller with RBF Neural Networks for Gasoline Engine AFR Control

传统的PID控制器很难适应复杂的非线性机械系统的控制,本文提出一种新型的用RBF网络整定的PID控制器来处理这类问题,并在发动机空燃比控制效果上与传统PID控制器进行了比较。仿真结果表明:该新型控制器控制效果比传统PID控制器好,在其他非线性复杂机械系统控制上也有一定的应用价值。

A conventional PID controller can not adapt the no-linear complex mechanical system control, a new type of controller combined conventional PID controller with RBF neural networks is used to tackle these problems and compare its performance with the conventional PID controller on gasoline engine＇s air-fuel ratio control. The results of simulation show the new type of PID controller is better than the conventional type and it can be used on other no-linear complex mechanical systems.