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The potential of fractional order distributed MPC applied to steam/water loop in large scale ships

Shiquan Zhao, Ricardo Alfredo Cajo Diaz, Robain De Keyser (UGent) and Clara-Mihaela Ionescu (UGent)
(2020) PROCESSES. 8(4).
Author
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Abstract
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.
Keywords
multi-input multi-output system, steam power plant, fractional order, model predictive control, large scale ships, MODEL-PREDICTIVE CONTROL, DESIGN

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MLA
Zhao, Shiquan, et al. “The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships.” PROCESSES, vol. 8, no. 4, 2020, doi:10.3390/pr8040451.
APA
Zhao, S., Cajo Diaz, R. A., De Keyser, R., & Ionescu, C.-M. (2020). The potential of fractional order distributed MPC applied to steam/water loop in large scale ships. PROCESSES, 8(4). https://doi.org/10.3390/pr8040451
Chicago author-date
Zhao, Shiquan, Ricardo Alfredo Cajo Diaz, Robain De Keyser, and Clara-Mihaela Ionescu. 2020. “The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships.” PROCESSES 8 (4). https://doi.org/10.3390/pr8040451.
Chicago author-date (all authors)
Zhao, Shiquan, Ricardo Alfredo Cajo Diaz, Robain De Keyser, and Clara-Mihaela Ionescu. 2020. “The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships.” PROCESSES 8 (4). doi:10.3390/pr8040451.
Vancouver
1.
Zhao S, Cajo Diaz RA, De Keyser R, Ionescu C-M. The potential of fractional order distributed MPC applied to steam/water loop in large scale ships. PROCESSES. 2020;8(4).
IEEE
[1]
S. Zhao, R. A. Cajo Diaz, R. De Keyser, and C.-M. Ionescu, “The potential of fractional order distributed MPC applied to steam/water loop in large scale ships,” PROCESSES, vol. 8, no. 4, 2020.
@article{8658840,
  abstract     = {{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.}},
  articleno    = {{451}},
  author       = {{Zhao, Shiquan and Cajo Diaz, Ricardo Alfredo and De Keyser, Robain and Ionescu, Clara-Mihaela}},
  issn         = {{2227-9717}},
  journal      = {{PROCESSES}},
  keywords     = {{multi-input multi-output system,steam power plant,fractional order,model predictive control,large scale ships,MODEL-PREDICTIVE CONTROL,DESIGN}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{15}},
  title        = {{The potential of fractional order distributed MPC applied to steam/water loop in large scale ships}},
  url          = {{http://doi.org/10.3390/pr8040451}},
  volume       = {{8}},
  year         = {{2020}},
}
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