Optimal Control Of Central Air-conditioning Heating System Based On System Modeling

With the development of science,technology and economy,intelligent buildings and high-rise buildings are common in many cities.The energy consumption of these buildings occupies a large part of the energy consumption of the whole city,and the energy consumption of the central air-conditioning heating system accounts for 40%~70% of the energy consumption of the whole building.Therefore,it is very important to find the lowest operating condition of the system and realize the energy saving and consumption reduction of the air conditioning heating system.Firstly,through the mechanism of system equipment,the thesis establishes the mechanism model of air-conditioning heating system,and identifies the mechanism model parameters according to the actual collected data;then,on the basis of the equipment model,obtains the target function and constraints.The control parameters by using the classical penalty function method to solve the control system,the objective function with constraints is converted into a penalty function without constraint conditions,the control results,and analyzes the merits of the method;finally the classical penalty function method is improved,the penalty factor as independent variable function,solves the selection of punishment the improper factors may cause non convergence problems.And the introduction of ant colony algorithm in the process of solving the control parameters,the size of the pheromone to determine the control parameters directly,thus solving the classical penalty function is easy to fall into local optimum problem.According to the data analysis of the simulation results,this thesis established the mathematical model of the error has reached the requirements of engineering,the error is less than 5%;the optimal control results of ant colony algorithm based on artificial experience control result has a 8% improvement based on.