节点文献
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
【摘要】 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。
【Abstract】 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.
【关键词】 神经网络;
径向基函数(RBF);
空燃比(AFR);
【Key words】 neural network; radial basis function(RBF); air-fuel ration(AFR);
【Key words】 neural network; radial basis function(RBF); air-fuel ration(AFR);
- 【文献出处】 湖北汽车工业学院学报 ,Journal of Hubei Automotive Industries Institute , 编辑部邮箱 ,2006年03期
- 【分类号】TM571
- 【被引频次】4
- 【下载频次】96