The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships

Shiquan Zhao; Ricardo Cajo; Robain De Keyser; Clara-Mihaela Ionescu

LAPSE

Living Archive for Process Systems Engineering

LAPSE:2020.0603

Published Article

LAPSE:2020.0603

The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships

Shiquan Zhao, Ricardo Cajo, Robain De Keyser, Clara-Mihaela Ionescu

June 22, 2020

The steam/water loop is a crucial part of a steam power plant. However, satisfying control performance is difficult to obtain due to the frequent disturbance and load fluctuation. A fractional order model predictive control was studied in this paper to improve the control performance of the steam/water loop. Firstly, the dynamic of the steam/water loop was introduced in large-scale ships. Then, the model predictive control with an extended prediction self adaptive controller framework was designed for the steam/water loop with a distributed scheme. Instead of an integer cost function, a fractional order cost function was applied in the model predictive control optimization step. The superiority of the fractional order model predictive control was validated with reference tracking and load fluctuation experiments.

Record ID

LAPSE:2020.0603

Keywords

fractional order, large scale ships, Model Predictive Control, multi-input multi-output system, steam power plant

Subject

Process Control

Suggested Citation

Zhao S, Cajo R, De Keyser R, Ionescu CM. The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships. (2020). LAPSE:2020.0603

Author Affiliations

Zhao S: Research Group on Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, B-9052 Ghent, Belgium; College of Automation, Harbin Engineering University, Harbin 150001, China; EEDT Decision & Control,
Cajo R: Research Group on Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, B-9052 Ghent, Belgium; EEDT Decision & Control, Flanders Make, B-9052 Ghent, Belgium; Facultad de Ingeniería en Electricida [ORCID]
De Keyser R: Research Group on Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, B-9052 Ghent, Belgium; EEDT Decision & Control, Flanders Make, B-9052 Ghent, Belgium
Ionescu CM: Research Group on Dynamical Systems and Control, Department of Electromechanical, Systems and Metal Engineering, Ghent University, B-9052 Ghent, Belgium; EEDT Decision & Control, Flanders Make, B-9052 Ghent, Belgium; Department of Automation, Technical Un [ORCID]

Journal Name

Processes

Volume

8

Issue

4

Article Number

E451

Year

2020

Publication Date

2020-04-11