一种神经网络直接自校正PID控制器  

A Type of Directly Self-tuning PID Controller Based on Neural Network

作　　者：韩冲[1] 

机构地区：[1]上海飞机设计研究院,上海201210

出　　处：《科技创新导报》2015年第33期41-42,44,共3页Science and Technology Innovation Herald

摘　　要：该文提出了一种神经网络直接自校正PID控制器。其主要特点是,在控制结构上不再包含独立的PID控制器,而是将神经网络和PID控制规律融为一体。并给出了这种神经网络控制器的学习算法和控制系统的稳定性分析。仿真结果表明,该控制系统具有较强的适应性和鲁棒性。A new type of directly self--tuning PID controller based on neural network is proposed in this paper, its main characteristic is that it no longer includes independent PID controller and put neural network and the law of PID controller together. Showing the study algorithm of this neural network controller and analyzing the stability of this control system. The simulated results prove that this kind of control system is more adaptive and robust.

关 键 词：神经网络 PID控制 非线性 学习算法 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]