LAPSE:2019.1021
Published Article
LAPSE:2019.1021
Distributed Model Predictive Control of Steam/Water Loop in Large Scale Ships
September 23, 2019
In modern steam power plants, the ever-increasing complexity requires great reliability and flexibility of the control system. Hence, in this paper, the feasibility of a distributed model predictive control (DiMPC) strategy with an extended prediction self-adaptive control (EPSAC) framework is studied, in which the multiple controllers allow each sub-loop to have its own requirement flexibility. Meanwhile, the model predictive control can guarantee a good performance for the system with constraints. The performance is compared against a decentralized model predictive control (DeMPC) and a centralized model predictive control (CMPC). In order to improve the computing speed, a multiple objective model predictive control (MOMPC) is proposed. For the stability of the control system, the convergence of the DiMPC is discussed. Simulation tests are performed on the five different sub-loops of steam/water loop. The results indicate that the DiMPC may achieve similar performance as CMPC while outperforming the DeMPC method.
Keywords
distributed model predictive control, loop design, multi-input and multi-output system, steam power plant, steam/water loop
Suggested Citation
Zhao S, Maxim A, Liu S, De Keyser R, Ionescu CM. Distributed Model Predictive Control of Steam/Water Loop in Large Scale Ships. (2019). LAPSE:2019.1021
Author Affiliations
Zhao S: Research Group on Dynamical Systems and Control, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium; College of Automation, Harbin Engineering University, Harbin 150001, China; Core Lab EED [ORCID]
Maxim A: Research Group on Dynamical Systems and Control, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium; Core Lab EEDT—Energy Efficient Drive Trains, Flanders Make, 9052 Ghent, Belgium; Depar [ORCID]
Liu S: College of Automation, Harbin Engineering University, Harbin 150001, China [ORCID]
De Keyser R: Research Group on Dynamical Systems and Control, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium; Core Lab EEDT—Energy Efficient Drive Trains, Flanders Make, 9052 Ghent, Belgium
Ionescu CM: Research Group on Dynamical Systems and Control, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium; Core Lab EEDT—Energy Efficient Drive Trains, Flanders Make, 9052 Ghent, Belgium; Depar [ORCID]
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Journal Name
Processes
Volume
7
Issue
7
Article Number
E442
Year
2019
Publication Date
2019-07-11
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr7070442, Publication Type: Journal Article
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LAPSE:2019.1021
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doi:10.3390/pr7070442
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Sep 23, 2019
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CC BY 4.0
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Sep 23, 2019
 
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Sep 23, 2019
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Original Submitter
Calvin Tsay
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