Predictive Control Method Of VAV Space Unit Temperature Control Based On I~2B Platform

Insect Intelligent Building(I~2B)is a new hotspot and direction of intelligent building in recent years which applies artificial intelligence technology to Building Automation System(BAS)with flattening and centerless architecture form.In I~2B system platform,the whole building is divided into two basic units:building space unit and large-scale equipment unit.As the main zones of indoor personnel activities and environmental control object of HVAC system,the research on the division method and indoor environment control method of building space unit is of great significance to the practical application of I~2B system.The purpose of this paper is to provide feasible solutions to the problems related to thermal environment control of building space units under I~2B platform.The main research work is as follows.First,classify all kinds of building space units by analyzing the characteristics of common space units in various public buildings.According to the physical field diffusion,the methods of dividing various spatial units are abstracted to provide basic information for the indoor environment control of I~2B.Second,through theoretical analysis of dynamic adjustment process of room temperature of building space unit under variable air volume regulation,the room temperature dynamic response of VAV air conditioning is solved theoretically,and the analytical model of room temperature response process is established based on the topological structure of air system actuators.A series of open-loop step response tests were carried out to obtain the actual response curves at indoor temperature,and the response curves of the analytical model at room temperature were obtained by simulation.The simulation results were compared with the real data measured in the experiment and estimated.Third,based on the analytical model of room temperature dynamic response of space unit and the Dynamic Matrix Control(DMC)algorithm,an optimized Model Predictive Control(MPC)method using minimum air volume method is presented.According to the control algorithm,the classical prediction algorithm and the minimum air volume prediction algorithm are simulated respectively,and the steady-state,dynamic characteristics of the two algorithms and the system cooling energy consumption in the regulation process are compared.Finally,the robustness of the predictive control algorithm for building space unit room temperature is verified when the analytical model mismatches.At last,based on the single zone predictive control algorithm and the distributed network architecture of I~2B system,a multi-zone distributed predictive control algorithm for room temperature is presented by Nash optimization.The effect of room temperature dynamic response under synchronous and asynchronous regulation is simulated,accuracy and convergence speed of the algorithm are verified.