Application of Decoupling Controller of Neural Networks to Heating Networks Flow Regulation
Abstract：In accordance with the District Heating System having large delay,nonlinear and strong coupling characteristic,this paper presents a nonlinear constrained optimization controller based on multivariable decoupling controller of Neural Networks.The results show that this controller can distribute the flow of the primary pipe network in every substation,make the average temperature of the supplying water and return water tend to be equal.Furthermore,it can make well-proportioned heat distribution in the whole heating network,which improves heating quality and achieves stabilization heating and even distribution heating.Meanwhile,a comfortable living environment can be created.
Keywords：district heating networksneural networksdecoupling controleven distribution heating
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 17-20 )