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A Novel Event Triggered Model Predictive Control Method for VAV Air Conditioning System

Ning He  Qing qing Chen  
【摘要】:A novel event-triggered model predictive control(MPC) strategy is proposed for VAV air conditioning system,which aims to solve the problem of high computational complexity in the online receding implementation of traditional MPC.Firstly,four different event triggering conditions,based on judging the slope of output and input variables and the rate of slope change,for the update of MPC actuator are developed,and the corresponding thresholds are also well tuned.Secondly,the execution process of the proposed event-triggered MPC algorithm is described and the closed-loop stability is analyzed theoretically.Finally,by taking the VAV air conditioning system as the control object,the feasibility and effectiveness of the proposed algorithm are verified by simulation experiments.

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