摘要
该文选取在工业上具有广泛应用的电加热炉为对象。电加热炉系统是一个双输入双输出系统，有耦合，相互影响，相互干扰。针对控制对象强耦合的特点，设计了基于BP神经网络的参数PID控制算法，采用前馈补偿方法实现解耦，通过仿真研究，结果表明该方案控制系统的调节品质比传统的PID控制水平有了明显的提高。
This paper focus on electrical heater＇s decoupling control based on Neural Network. Direct against the strong cou-pling characteristic of control system, this paper try to design a control system based on BP Neural Network and dispel the cou-pling by feed forward compensation. The simulation results show that the designed system dispels the coupling between the sys-tematic variables basically;it improved greatly the dynamic and static responsible specifications of the system. Compared with the traditional PID controller, this intelligent control algorithm can achieve better control effect.
作者
文增红
WEN Zeng-hong （The School of Electronics and Information Engineering of Tongji University, Shanghai 201804, China）
出处
《电脑知识与技术》
2013年第10期6375-6377,6405,共4页
Computer Knowledge and Technology
关键词
BP神经网络
PID
解耦
温度控制
仿真
neural network
PID
decoupling
temperature control
simulation
