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Study on New Control Strategy of Low-Temperature Floor Radiant Heating System

Author: DongWeiMin
Tutor: WuZhongQiang
School: Yanshan University
Course: Control Theory and Control Engineering
Keywords: Low-temperature radiant floor heating system Fuzzy Control Contraction mapping Genetic Algorithms Memory feedback
CLC: TU832.16
Type: Master's thesis
Year: 2010
Downloads: 74
Quote: 1
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Abstract


With the improvement of people's living standards , improve the environmental requirements of the Habitat temperature radiant floor heating once introduced into China , it has been the great importance of the country as well as the construction industry has the characteristics of the heating energy saving , environmental protection , comfortable way soon be widely used in North China and most parts of northern . The low-temperature radiant floor heating system as the background , as in the establishment of the mathematical model , the steady-state analysis and dynamic control : First, according to the technical characteristics of the low-temperature radiant floor heating system , the two-dimensional heat conduction process and the corresponding numerical method - finite difference method and virtual heat source , and apply them to the establishment of the steady-state temperature field in the floor heating system , comparing the advantages and disadvantages of the two methods can be seen more easy-to-use virtual heat source method . Secondly , in order to obtain higher quality control , low temperature radiant floor heating system , cold , warm , dynamic model based on design fuzzy PI regulator , simulation verify its effectiveness . Further study mapping genetic algorithm to optimize the fuzzy controller based on improved compression . Using an improved compression mapping the genetic algorithm to optimize the fuzzy controller with the adjustment factor and compared to the traditional genetic algorithm to improve the convergence speed . Designed with memory state feedback controller for the system there is a large time delay . Proved by constructing a special Lyapunov function of system stability , the stability of the system can be attributed to the linear matrix inequality (LMI) to solve the problem , simulation verify its effectiveness . The fuzzy PI algorithm is applied to the thermostat test , carried out tests on the stability and control of the thermostat effect of the experimental data , simultaneous analysis of different factors affect the performance of the controller . R \u0026 D based VC and use MATCOM , mixed programming software . VC superior visual interface and MATLAB powerful combination of image processing functions .

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CLC: > Industrial Technology > Building Science > Housing construction equipment > Air-conditioning, heating, ventilation,and its equipment > Heating > Heating system > Radiant heat heating system
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