Research On Control And Optimization Of VAV System Based On Insect Intelligence

In the energy consumption of public buildings,the energy consumption of the air-conditioning system accounts for a large part.According to statistics,the energy consumption caused by the air conditioning system control strategy and control characteristics accounts for 30% of the entire air conditioning system energy consumption.In the control of VAV air-conditioning system,compared with the constant static pressure and total air volume method,the variable static pressure control can achieve energy-efficient fan control to achieve room temperature requirements.However,due to the complexity of its control,the static pressure will change with the change of the fan speed and the terminal damper.At the same time,the indoor temperature will change.And the static pressure change is a fast response process,while the room temperature change is a slow response process.Therefore,frequent adjustment of terminal damper and static pressure will be caused,which increases the instability of system control.In this paper,based on the insect intelligent building system,the control method of VAV air-conditioning system is studied in order to save energy.From the control point of view,the control characteristics of VAV system are studied,and the control strategy of VAV system is analyzed.The specific research contents are as follows:First of all,according to the characteristics of Insect Intelligent and air supply system,using Matlab /Simulink,the intelligent topological structure of VAV air supply system group and the mathematical models of VAV air supply system modules are established.It includes the models of air conditioning room,supply fan,terminals,andsupply pipe network,which provides a platform for the later research on VAV air conditioning system.Secondly,in order to solve the problem that the traditional fuzzy control method of variable static pressure relies on human experience to obtain fuzzy rules,a variable static pressure fuzzy control method based on subtractive clustering and adaptive neural fuzzy inference system(SC-ANFIS)is proposed.This method optimizes input sample data and generates fuzzy rules using the learning ability of the subtractive clustering algorithm,and trains the fuzzy rules utilizing the neural fuzzy reasoning,which realizes the VAV variable static fuzzy control.Through the contrast experiment,this method reduces the power consumption of the blower by 67%compared with the static pressure method.Compared with the empirical variable static pressure fuzzy control method,the adjustment time is shorter,the control process is more stable,and the anti-interference is stronger,and the power consumption of the blower is reduced by 7%.The energy saving effect is obvious.Thirdly,under the insect intelligent system,taking the office area of an office building as the research object,the room temperature prediction model is established by using the gray box modeling method.In this model,the influence of the adjacent temperature on the current room temperature is considered,and the relationship between the room temperature parameters and the control quantity is discussed.At the same time,the system identification is used to determine the relevant parameters,and the correctness of the model is verified.According to the established predictive model,the temperature predictive control of the research object is carried out,and compared with the traditional control model,it is found that the control effect under predictive control is more stable.Finally,the instability of VAV system caused by the slow change of room temperature and the frequent adjustment of static pressure and terminal damper is solved.On the basis of insect intelligent room temperature prediction,a fuzzy control method of variable static pressure based on terminal valve position prediction is proposed.The results show that the control period of room temperature prediction and the improved fuzzy control method can make the control of VAV system more stable and energy-saving.According to the control characteristics of VAV system,the simulation model and room temperature prediction model of VAV air-conditioning system are established based on group intelligence.Based on the model,the control and optimization of VAV system is studied.The fuzzy control method of variable static pressure based on the prediction of terminal damper position is proposed,and the fuzzy control method of variable static pressure is optimized.The results show that this study improves the stability of the VAV system,and realizes the efficient and energy-saving operation of the VAV system,which can be used for reference in the optimization of VAV system.