Central Air Conditioning System Dual Mode Control Strategy Research

With the continuous improvement of people's living standard and quality,air conditioning penetration is higher and higher,so the requirement of indoor environmental comfort is also higher and higher,the stand or fall of air conditioning system build the thermal comfort of environment seriously affects people's quality of life and the work efficiency.Building energy consumption accounted for about 30%of total energy consumption in our country,and air conditioning energy consumption account for a large proportion of building energy consumption.So how to design the air conditioning control system to meet the requirements of energy-saving and environmental comfort at the same time appear increasingly important in the field of intelligent building.Variable air volume air conditioning system as the central air conditioning system,its energy saving effect is significant.It will become the core object of air conditioning field research in the future.But the variable air volume air conditioning system is uncertain,multivariable,nonlinearity,large delay and time-varying,traditional PID control strategy is difficult to meet the requirements of the dynamic control.Air conditioning system in the process of air has a strong seasonal,when indoor and outdoor conditions changed significantly,timely change operation adjustment method,namely the conversion of operation will make a year-round operation of the air conditioning system more reasonable,convenient,give full play to the ability of air processing equipment,have good energy saving effect.First of all,starting from the concept of energy-saving and adjusting the indoor comfort,after analyzing the air conditioning system structure,classification,the basic principle and the problems existing in the system,aim at the VAV air conditioning system has the character of big interference and degeneration,we put forward the improvement control strategy of single model and dual mode controller.we apply different control algorithms to proceed research such as the improve CMAC neural network control system,T-S fuzzy neural network controller and Improved RBF neural network predictive control which based on the genetic algorithm.Combine fuzzy neural network and predictive control,establish neural network Prediction model of controlled object online,at the same time,adopt new optimization algorithm to controller predictor respectively.And uses the difference between predict output and actual output to adjustpredictor parameters online,realize the prediction of air conditioning system control.Put forward parallel multivariate dual mode control method,this method combine wind adjust and temperature adjust,select control method on the basis of the temperature difference,use fresh air reasonable,refrain from wasting energy sources,the dual mode control method,bases on carbon dioxide concentration adjust,introduction carbon dioxide concentration adjust which bases on parallel multivariate dual mode control method,improve the disadvantage that the parallel multivariate dual mode control method needs a large number experiments to check standard temperature difference ek,forecast the room temperature and the carbon dioxide concentration variation trend in the future,select the indoor carbon dioxide concentration as standard,realize the objective of indoor air quality adjust and control system energy conservation.Determine the room mathematical model,and through the MATLAB simulation results of the proposed control method,comparative analysis,to seek the optimal control strategy.The simulation results show that the control effect of the dual mode control strategy is superior to the single mode control strategy.Application in actual engineering test results also show that dual mode control has good stability,comfort and energy-saving effect is remarkable,etc.