VAV Terminal Unit Control Based On T-S Model With The Generalized Predictive Control

Building energy consumption in our country is about30%in total energyconsumption, and air conditioning energy consumption accounts for about60%in theenergy consumption of the building, among them, VAV central air conditioning systembecause of its good properties has been widely used.At present, the terminal device is one of the more important equipment in the variableair volume air conditioning system, its control system operation of the "quality" of theoperation to the system has a direct impact. So the optimization of VAV central airconditioning terminal controller is the key factor in reducing energy consumption.This thesis analyzes the VAV central air conditioning control technology developmentpresent situation, and the working principle of VAV central air conditioning, VAVair-conditioning system with large delay, nonlinear and time-varying characteristics, it isdiiffcult to establish the actual control model，the conventional PID control method has notbeen able to achieve a good control effect, based on the researching ifizzy and predictivecontrol method, the tfizzy-predictive control is used into variable air volume airconditioning terminal control and has got a good result.According to the characteristics of the VAV central air conditioning system, thisthesis presents a generalized predictive control strategy based on T-S ifizzy model，basedon the FCM，and the T-S ifizzy model of VAV air conditioning is identiifed by using theimproved recursive fuzzy clustering algorithm. The fuzzy system number of rules andmembership tfinctions of the center and width are determined by using ifizzy clusteringalgorithm; the concluding part of the parameters of the T-S ifizzy model is identiifed by theconventional least square method; then get the T-S ifizzy model into generalized predictivecontrol CARIMA model，and variable air volume air conditioning terminal control.The control system simulation veriifed through the MATLAB sotfware editing M ifle.In order to tfirther validate the method control effect, the simulation compared withtraditional PID control in different operating conditions control effect. The simulation results show that the improved ifizzy predictive control algorithm effectively reduces theovershoot of the system and improves the system response speed compared with thetraditional control and has a very good control effect.