DRNN神经网络的电加热炉解耦控制

Decoupling Control Based on DRNN Neural Network of Electrical Heater

基于DRNN神经网络参数自学习的PID原理对电加热炉进行解耦控制。给出了网络的结构和算法,分析了时变对象的特点,并对电加热炉时变系统进行了仿真。仿真结果表明:DRNN神经网络对多变量强耦合时变对象具有良好的解耦性能和自学习控制特性。

Based on the principle of PID decoupling control of DRNN neural network,a decoupling control method for electrical heater is put forward in this paper. The structure and algorithm of neuron decoupling are presented. Its mechanism in multi variable system are analyzed by making a two input and two output system for electrical beater. The result of the simulation shows its powerful sell learning and sell- adaptive decouple capabilities.