Research Of Heating Network Control Based On The Decoupling Controller Of Neural Networks

Along with cities' rapid development, people's recognition of energy saving, consume dropping and environment protecting, the district heating supply has become the main heating mode in north China. It has been used as an important technique management and policy in saving fuel, improving environment and realizing city life's modernization. So how to control and manage the whole heating system effectively, improve the heating system's economy and society benefit have become the most important problem that needs to resolve for most heating supply corporations. All of these lead to the birth of correlation questions like running regulation and control policy.On the basis of Laboratory-scale heating system control, the problems of running regulation and control policy have been discussed. The application of Neural Networks technology to District Heating System to adjust the flux is also discussed. It mainly includes:The running regulation and control policy are discussed in the first part of this paper; need-based heating method and even distribution heating method are also discussed deeply. Then by analyzing the characteristics and possible problems of District Heating System in China, the flow control strategy based on temperature is presented, which adapts to the situation of our country.The method of multivariable decoupling control of Neural Networks is discussed in the second part of this paper. 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, and then the characteristic and design idea of the controller are also discussed thoroughly.It introduces the composing of Laboratory-scale heating system, the real time monitoring software platform and the implementation of multivariable decoupling controller of Neural Networks in detail. It shows 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.