集中供热系统热网控制策略的研究  

The Research of Control System of Centralized Heating Network

作　　者：宋秦中[1] 宋新玲[2] 刘科[1] 陆军[1] 孙菲菲[1] 

机构地区：[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

出　　处：《南通职业大学学报》2012年第3期84-88,共5页Journal of Nantong Vocational University

基　　金：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。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, muhi-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.

关 键 词：集中供热系统热网 神经网络 解耦控制 控制策略 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]