Research On Temperature Of The Return Water Of Central Heating System Based On Fuzzy Control

With the rapid development of city construction, centralized heating system has been one of the key steps that must be adopted in city modernization in North China. With the continuous extension of heating network, how to control and manage heating system efficiently and improve the economic and social benefits has been an urgent task facing heating industry.Because of the central heating system has the characteristic of nonlinear, time-varying, random interference and the uncertainty model parameters, we can not use traditional control to make it in order, so there will be a great waste of energy. But fuzzy control system has the characteristic of powerful function mapping ability, its ability to process input and output data for effective learning, and thus can solve this problem and save resources. In this paper, after reading a lot of articles about the development of the central heating systems and the central heating research at home and abroad, the author described the working principle% composition and adjusting methods of the heat exchange station.The author will use frequency control method to adjust the flow, and then after analyzing the theoretical part of the fuzzy controller, including fuzzy sets, fuzzy rules, fuzzy linguistic and fuzzy reasoning. At last the author designed the two-dimensional central heating system fuzzy controller based on the data provided by Xinglong Company in Changchun, after analysis, the water flow and the outdoor temperature played as input, the return water temperature played as output, and then the controller designed by the author will be simulated by fuzzy toolbox in MATLAB.Use the data collected by the author in heat exchange station as basis, the take the simulation data and real data for comparison. The results show that the max error of the calculated data and actual data is 0.57℃, and the max relative error is less than 1.7%. We will achieve two curves that overlap well and a result of high precision, fully meet the central heating system for fast and accurate tuning. The controller design method and control algorithm is for a large inertia and time delay systems. In a similar system, this method will work as usual, so it is worth promoting.