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Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant – Disturbance Issues
Abstract
Typically, there are two main control loops with PI controllers operating at each turbo-generator set. In this paper, a distributed model predictive controller with local quadratic model predictive controllers for the turbine generator is proposed instead of a set of classical PI controllers. The local quadratic predictive controllers utilize step-response models for the controlled system components. The parameters of these models are determined based on the proposed black-box models of the turbine and synchronous generator, which parameters are identified on-line with the recursive least-squares algorithm. A robustness analysis of the control system with respect to different disturbances is presented in the paper. There are various configurations considered, such as change in disturbance levels from the side of electrical and thermal systems, or changes in prediction horizons.
Citations
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Authors (4)
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Paweł Sokólski
- Politechnika Poznańska
-
Bartosz Ceran
- Politechnika Poznańska
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Dariusz Horla
- Politechnika Poznańska
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-74893-7_17
- License
- Copyright (2021 Springer Nature Switzerland AG)
Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
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Advances in Intelligent Systems and Computing
no. 1390,
pages 166 - 184,
ISSN: 2194-5357 - Title of issue:
- Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques strony 166 - 184
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Sokólski P., Rutkowski T., Ceran B., Horla D.: Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant – Disturbance Issues// Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques/ : , 2021, s.166-184
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-74893-7_17
- Verified by:
- Gdańsk University of Technology
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