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集中供热系统热网控制策略的研究
引用本文:宋秦中,宋新玲,刘科,陆军,孙菲菲.集中供热系统热网控制策略的研究[J].南通职业大学学报,2012,26(3):84-88.
作者姓名:宋秦中  宋新玲  刘科  陆军  孙菲菲
作者单位:1. 苏州市职业大学电子信息工程系,江苏苏州,215104
2. 大连理工大学电子与信息工程学院,辽宁大连,116023
基金项目:苏州市职业大学研究性课程资助项目(SZDYKC-110703)
摘    要:集中供热系统热网有着多输入、多输出、非线性、时变性、强耦合的特点,智能解耦控制算法是解决热网流量控制的有效方法。文章讨论了神经网络解耦控制策略,设计了基于非线性、多变量的神经网络解耦控制器。应用于实验室热网控制的结果表明,该控制算法有明显的控制效果,能实现稳定供热和均匀供热的整体目标。

关 键 词:集中供热系统热网  神经网络  解耦控制  控制策略

The Research of Control System of Centralized Heating Network
SONG Qin-zhong , SONG Xin-ling , LIU Ke , LU Jun , SUN Fei-fei.The Research of Control System of Centralized Heating Network[J].Journal of Nantong Vocational College,2012,26(3):84-88.
Authors:SONG Qin-zhong  SONG Xin-ling  LIU Ke  LU Jun  SUN Fei-fei
Institution:1(1.Department of Electronic Information Engineering,Suzhou Vocational University,Suzhou 215104,China; 2.School of Electronics and Information Engineering,Dalian University of Technology,Dalian 116023,China)
Abstract:The centralized heating network boasts characteristics of multi-input,multi-output,nonlinear,time-varying and strong coupling,among which,intelligent decoupling control algorithm is an effective method to solve flow regulation of the network.This paper discusses decoupling control strategy of neural networks systematically,and designs a neural network decoupling controller based on nonlinear,multi-variability,after applied on the control of laboratory heating network.The results show that its control effect is obvious,and can achieve the overall objective with stablized heating and even distributive heating.
Keywords:centralized heating networks  neural networks  decoupling control  control system
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