Study On New Control Strategy Of Low-Temperature Floor Radiant Heating System

As people's living standards improving, the requirements of the living environment improved, this makes the low-temperature radiant floor heating with energy saving, environmental protection, comfort and features of a heating method by the introduction to our country, has been great attention by countries as well as the construction industry, and soon in North China, as well as widely used in most parts of the north. But the research of low-temperature floor heating is still in its infancy, in this paper which is based on the literature has done some work on mathematical model, steady-state and dynamic control analysis.Firstly, through the research and analysis of low-temperature radiant floor heating system technology, advantages and disadvantages, two-dimensional heat conduction, and numerical methods - finite difference method, on the basis of heat transfer, proposed a new method - a virtual heat source method applied to steady-state analysis of ground heating system. By comparing the two methods of setting up and solving the original equation of heat, one can see the virtual heat source method is more easy to use.Second, in order to better control the quality improvement, it gives the cold, warm dynamic model of low-temperature floor heating system, designed the fuzzy PI controller, and the simulated result proved the Validity. We studied the genetic mapping which was based on an improved compression algorithm optimization fatherly. Combining with traditional genetic algorithms, the fuzzy controller with improved compression mapping of genetic algorithm has improved the convergence speed. In order to study the system big time delay problem, based on solving linear matrix inequalities (LMI), we designed the memory feedback controller, by constructing a special lyapunov function to prove the stability of the closed-loop system which was bounded by simulation the effectiveness of these methods. The above fuzzy controller was applied to the thermostat test, and done some tests to research its stability and control effectiveness. The experimental data were studied, and analyzed the impact of different factors on the controller performance impact. R & D mixed programming software which is based on VC + + and MATCOM. It had achieved combination of VC++'s superior visual interface and MATLAB's powerful image processing functions.