Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Modeling of Turbine-Boiler Coordinated System Based on Online Support Vector Machine

Authors
Meihua Li, Changliang Liu
Corresponding Author
Meihua Li
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.49How to use a DOI?
Keywords
Modeling, Coordinated System, Online, Support Vector Machine
Abstract
The simplified non-linear unit model not only can provide the inherent rules by control system design, but also can be use as a simulation process to evaluate the performance of the control algorithms. Using the nonlinear mapping characteristics of Online Support Vector Machine (Online SVM), the dynamic mathematical models of turbine-boiler coordinated system were established, and the simulation research were conducted. Operation data simulation shows that the model can perfectly reflect the dynamic characteristics of turbine-boiler coordinated system. When a new condition appeared in the process which did not include in the working condition data, the model can take advantage of the new data to realize online update, adding a new support vector, thus has a good reappearance.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.49How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Meihua Li
AU  - Changliang Liu
PY  - 2018/05
DA  - 2018/05
TI  - Modeling of Turbine-Boiler Coordinated System Based on Online Support Vector Machine
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.49
DO  - https://doi.org/10.2991/amcce-18.2018.49
ID  - Li2018/05
ER  -