Title :
Offset-free model predictive controller for Vapor Compression Cycle
Author :
Wallace, Margeaux ; Das, Biswajit ; Mhaskar, Prashant ; House, John ; Salsbury, Tim
Abstract :
This work describes the application of an offset-free model predictive controller for a Vapor Compression Cycle (VCC). The MPC strategy is based on an empirically-identified linear model obtained using data simulated from a first-principle model of a VCC. The VCC model is interfaced with a building simulation EnergyPlus. The MPC strategy incorporates both economic and control objectives and estimates unaccounted disturbances to the linear models using an augmented state-space model coupled with a Luenberger observer. Tuning rules are developed to enable the `decoupling´ of the Luenberger design and choice of MPC parameters, leading to offset elimination and superior tracking performance while reducing the energy demand on the VCC, relative to traditional control approaches.
Keywords :
compressors; linear systems; observers; predictive control; state-space methods; structural engineering; EnergyPlus; Luenberger design; Luenberger observer; MPC parameter; MPC strategy; VCC model; augmented state-space model; building simulation; energy demand; first-principle model; linear model; offset-free model predictive controller; tracking performance; tuning rule; vapor compression cycle; Atmospheric modeling; Buildings; Data models; Mathematical model; Predictive models; Temperature control; Temperature measurement;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315409