An engine idle speed controller has been designed by using fuzzy control theory. The BP neural network is used to realize the relationship of input and output functions in fuzzy control. The advanced and efficient algorithm variable scale method for learning is used in neural network training. 应用模糊控制理论设计了一个用于发动机怠速控制的模糊控制器,并用BP人工神经网络实现这种模糊控制器输入输出的映射关系,在神经网络训练中采用了先进、有效的变尺度学习算法。
The proceedings of idle speed are so complex that it is very difficult to design a good controller based on the mathematical model of gasoline engine idling condition. 由于发动机的怠速运转是非常复杂的一个过程,所以要在发动机怠速的数学模型的基础上来设计控制器是很困难的。