scholarly journals Data-Driven control design by prediction error identification for a refrigeration system based on vapor compression

2018 ◽  
Vol 51 (4) ◽  
pp. 704-709 ◽  
Author(s):  
Daniel D. Huff ◽  
Gustavo R. Gonçalves da Silva ◽  
Lucíola Campestrini
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Data Driven ◽  
Vapor Compression ◽  
Refrigeration System ◽  
Error Identification

Data-driven model reference control design by prediction error identification

2017 ◽  
Vol 354 (6) ◽  
pp. 2628-2647 ◽  
Author(s):  
Lucíola Campestrini ◽  
Diego Eckhard ◽  
Alexandre Sanfelice Bazanella ◽  
Michel Gevers
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Data Driven ◽  
Error Identification ◽  
Model Reference ◽  
Model Reference Control

Data-Driven Control Design by Prediction Error Identification for Multivariable Systems

2019 ◽  
Vol 30 (4) ◽  
pp. 465-478 ◽  
Author(s):  
Daniel D. Huff ◽  
Luciola Campestrini ◽  
Gustavo R. Gonçalves da Silva ◽  
Alexandre S. Bazanella
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Data Driven ◽  
Multivariable Systems ◽  
Error Identification

scholarly journals Model Reference Control Design by Prediction Error Identification*

2012 ◽  
Vol 45 (16) ◽  
pp. 1478-1483 ◽  
Author(s):  
Luciola Campestrini ◽  
Diego Eckhard ◽  
Alexandre S. Bazanella ◽  
Michel Gevers
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Error Identification ◽  
Model Reference ◽  
Model Reference Control

Dynamic Model of Compression Refrigeration System with a High Pressure Receiver

2011 ◽  
Vol 130-134 ◽  
pp. 575-579
Author(s):  
Wen Peng Zhai ◽  
Ai Guo Wu ◽  
Yu Wen You
Keyword(s):  
Optimal Control ◽  
Energy Efficiency ◽  
High Pressure ◽  
Energy Consumption ◽  
Dynamic Model ◽  
Control Design ◽  
Building Energy ◽  
Vapor Compression ◽  
Refrigeration System ◽  
Part Load

Vapor compression chiller, the largest proportion of building energy consumption as the design and running characteristics, work at part load for most of the time. To improve the energy efficiency at part load, this thesis details some efforts to develop a dynamic model of a vapor compressor system suitable for optimal control design purpose. It present the model of high pressure liquid receiver which is important for the mass balance of the whole system and make sure it operated in a set-point designed. Additional experiments were also performed to verify the precision of the model.

Model validation for control and controller validation in a prediction error identification framework—Part I: theory

Automatica ◽  
2003 ◽  
Vol 39 (3) ◽  
pp. 403-415 ◽  
Author(s):  
Michel Gevers ◽  
Xavier Bombois ◽  
Benoı̂t Codrons ◽  
Gérard Scorletti ◽  
Brian D.O. Anderson
Keyword(s):  
Model Validation ◽  
Prediction Error ◽  
Error Identification
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