一类神经网络自校正控制器的设计与研究

The Design and Research for a Kind of Neutral Net Works Self tune Controller

提出一种新的神经网络自校正控制器的设计方法 ,采用神经网络 BP算法作为控制器来控制实际对象 ,动态地修改神经网络的权值作为自校正方法 ,使系统较好地适应负荷和外扰的变化 ,获得满意的控制质量。

This paper presents a new self tune controller method based on the neural network.The BP algorithm is used here as a controller to control an actual system and the dynamic modification of the weighting value of a neural network serves as a self tune method.Hence the system can adapt itself better to the variations in load and external interference to yield a satisfactory control quality.