Title | ||
---|---|---|
Reconfigurable Model Predictive Control for Multievaporator Vapor Compression Systems. |
Abstract | ||
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This paper considers the control of a multievaporator vapor compression system (ME-VCS) where individual evaporators are permitted to turn ON or OFF. We present a model predictive controller (MPC) that can be easily reconfigured for different ON/OFF configurations of the system. In this approach, only the cost function of the constrained finite-time optimal control problem is updated depending on ... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCST.2017.2701772 | IEEE Transactions on Control Systems Technology |
Keywords | Field | DocType |
Heating systems,Refrigerants,Temperature measurement,Temperature sensors,Predictive models,Computational modeling | Constraint satisfaction,Control theory,Optimal control,Control theory,Matrix (mathematics),Model predictive control,Microprocessor,Control engineering,System dynamics,Mathematics,Calibration | Journal |
Volume | Issue | ISSN |
26 | 3 | 1063-6536 |
Citations | PageRank | References |
3 | 0.67 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniel J. Burns | 1 | 9 | 2.82 |
Claus Danielson | 2 | 18 | 7.15 |
Junqiang Zhou | 3 | 3 | 0.67 |
Stefano Di Cairano | 4 | 309 | 44.69 |