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前馈神经网络在主汽温控制中的应用
引用本文:谷俊杰,张如鹏,朱伟民,杨智,任晏伶. 前馈神经网络在主汽温控制中的应用[J]. 应用能源技术, 2011, 0(4): 40-42
作者姓名:谷俊杰  张如鹏  朱伟民  杨智  任晏伶
作者单位:华北电力大学能源动力与机械工程学院,河北保定,071003
摘    要:针对电厂主蒸汽温度系统大迟延的问题,提出了一种在常规串级PID控制系统基础上设计一个基于BP神经网络的前馈控制器,把熟练运行操作员的实际操作经验和数据进行综合处理,在不同的工况下给出适应当前工况的前馈控制量来弥补反馈作用的不足,从而提高控制系统的动态特性。MATLAB仿真结果表明,所设计系统的抗干扰能力和鲁棒性等方面都优于常规PID控制器。

关 键 词:前馈控制  神经网络  主汽温控制  仿真

Application of Feedforward Neural Networks in The Main Steam Temperature Control
GU Jun-jie,ZHANG Ru-peng,ZHU Wei-min,YANG Zhi,REN Yan-ling. Application of Feedforward Neural Networks in The Main Steam Temperature Control[J]. Applied Energy Technology, 2011, 0(4): 40-42
Authors:GU Jun-jie  ZHANG Ru-peng  ZHU Wei-min  YANG Zhi  REN Yan-ling
Affiliation:GU Jun-jie1,ZHANG Ru-peng1,ZHU Wei-min2,YANG Zhi2,REN Yan-ling1(1 North China Electric Power University School of Energy,Power & MechanicalEngineering,Baoding 071003,China)
Abstract:Because of the problem that is a large delay of main steam temperature system in power plant,this paper presents a feedforward controller which based on the conventional cascade PID control system and the BP neural network,this controller treat comprehensively the actual operating experience and data of the skill operator,than it give the proper feedforward which compensate for the lack of feedback control in different conditions so as to improve the dynamics of the control system.The result of MATLAB simul...
Keywords:Feedforward control  Neural network  Control of the main steam temperature  Simulation  
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