基于神经网络的集中供暖系统约束控制  

Central Heating System Constrained Control based on Neural Network

作　　者：王宏伟[1] 敖鑫 刘璐[2] WANG Hong-wei;AO Xin;LIU Lu(School of Municipal and Environmental Engineering Institute,Shenyang Jianzhu University,Shenyang,China,Post Code,110168;College of continuing Education, Shenyang Jianzhu University, Shenyang,China,Post Code,110168)

机构地区：[1]沈阳建筑大学市政与环境工程学院,辽宁沈阳110168 [2]沈阳建筑大学继续教育学院,辽宁沈阳110168

出　　处：《热能动力工程》2019年第4期23-28,共6页Journal of Engineering for Thermal Energy and Power

基　　金：国家重点研发计划(2017YFB0604000);辽宁省自然科学基金(20170540747)~~

摘　　要：为提高集中供暖系统的热效率,提出了一种基于神经网络的集中式供暖系统的水阀开合度控制策略,引入了障碍李雅普诺夫函数和一个特殊设计的辅助系统来解决控制系统中出现的输入输出约束的问题。采用了一种神经网络逼近器来在线估计系统模型,解决系统传递模型未知的问题。通过模拟仿真同时测试了所提出系统的性能,与传统PID控制系统进行对比,该系统具有良好的适应性和稳定性,有一定的实用价值。In order to improve the thermal efficiency of central heating system,a water valve opening and closing control strategy based on neural network is proposed.An obstacle Lyapunov function and a specially designed auxiliary system are introduced to solve the problem of input and output constraints in the control system.A neural network approximator is used to estimate the system model online to solve any unknown problem in the system transfer model.The performance of the proposed system is also tested by simulations and experiments.Compared with the traditional PID control system,the proposed system has both great adaptability and stability,and in turn,has certain practical value.

关 键 词：集中供暖系统 神经网络 输入输出约束 智能自适应控制 

分 类 号：TU832.12[建筑科学—供热、供燃气、通风及空调工程]