The Research On Control Method Of Water Source & Heat Pump System Based On BP Neural Network Model

Due to the energy crisis and sustainable development of environment,the protection and energy saving is becoming more and more important.The water source &heat pump system in HVAC areas can solve the two aspects of this problem.But because the water source &heat pump ac system,has the character of nonlinear,time-varying and delay, etc,in actual application,the control effect of conventional control strategy is not so good and the energy saving effect is not obvious.And in some areas,the inadequate understanding of water source &heat pump system and excessively exploreing groundwater,result in a new environment problems.Anyhow,there are so many problemes of the water source &heat pump system to be solved.Firstly,this article takes the administrative center in xi'an source heat pump air conditioning system as an example,introduces the basic control scheme of the water source &heat pump system,and shows some debugging results.And then collect some related data of this water source &heat pump ac system,use system indetification toolbox of MATLAB and least-square method to established a mathematic model between DiShuiBeng frequency and the temperature of chilled water and provides basis for system simulation.In chapter 5,the research status of lag issues is given,and bring a predictive control algorithm based on the BP neural network model to Solve the problem, and also give the structure of thiscontrol system.Finally,aiming at the modle between the frequency and the temperature of chilled water,the paper gives the trainning result of the network structure of the prediction model.According to actual engineering,designs PID control system and then comprares the simulation results with the one which joins the BP neural network model predictive control system,the result shows that the lag issuse in the new predictive control system has been effectively solved.