Research Fresh Air System Based On Granular Function Adaptive Fuzzy Control

Due to the large-scale development of modern public buildings and a large number of new residential buildings,the application of air-related systems such as air conditioning systems and fresh air systems has become more common,especially the application of fresh air systems is in a situation of increasing demand,but due to The current control technology of the fresh air system is not mature enough to control the quality and temperature of the air entering the room from the outside in a smarter way.Therefore,it is very meaningful to introduce a more intelligent control method to the fresh air system.of.This paper proposes an adaptive fuzzy control algorithm based on granular computing to design the control mode of the fresh air system,establish a simulation model through MATLAB.and use the integrated pollutant concentration of CO₂and PM2.5 and TVOC as the input parameters of the fresh air system controller.Control the indoor pollutant concentration to the best value of 0.8 as a stable state,observe the time from the initial pollutant concentration to the best pollutant concentration,and simulate the control effect with MATLAB,and at the same time use the adaptive fuzzy control effect based on granular calculation Through simulation and comparison of the effect of optimizing indoor air of fresh air system under other fuzzy control methods,it is proved that the control effect of granular response function is the same as that of traditional fuzzy controller,but due to its algorithm,the controller has high computational efficiency.Granular response function to reduce control costs.This article firstly introduces the theory of fuzzy control and the concept of granular function.By combining the two theories,a fuzzy PID control method based on granular function is formed.The fuzzy control algorithm is granulated to improve the fuzzy control.In the process,the steps of fuzzification and defuzzification are omitted,and the control process is further simplified.Then the adaptive concept is introduced to the granular function-based fuzzy control method.In the process of processing and analysis,the processing parameters are automatically adjusted according to the data characteristics of the processed data to achieve the best control effect.Finally,through the design of the fuzzy controller of the fresh air system,the simulink in MATLAB is used to establish a fresh air system simulation model.The outdoor air is introduced into the room simulation model with an initial pollutant concentration of 2.8 through the fresh air system,which minimizes the concentration of indoor air pollutants.The stable time in the best state is simulated and observed.This paper proves through simulation experiments that the introduction of granular function fuzzy control can increase the speed of purifying indoor air pollutants by nearly 50%,and with the increase of the granular function fitting order,it is proved in the simulation experiment of this paper The efficiency of the fourth-order granular function is 21%higher than that of the third-order granular function.Therefore,it is concluded that the adaptive fuzzy PID control model based on the granular function has superior characteristics than the traditional fuzzy control model.The conclusion can be drawn through the granular point distribution experiment.,The difference in particle distribution has different effects on the control effect.