Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

Coordinated Control Object Modeling Based on Improved Particle Swarm Optimization Algorithm

Authors
Guanggang Shang, Lincang Ju, Li Tang, Yongjie Gao
Corresponding Author
Guanggang Shang
Available Online October 2015.
DOI
10.2991/icadme-15.2015.263How to use a DOI?
Keywords
Supercritical units; Coordinated control object; Particle swarm optimization; Model
Abstract

In this paper, a modeling method of coordinated control object of supercritical power plant unit is studied. Combined with the actual operating history data of the power plant, by using experimental modeling method, this paper firstly gets the modeling structural according to the dynamic characteristics of the object, and then using the improved particle swarm optimization algorithm to get the unknown parameters of model, and ultimately determines the model of unit coordinated control object. The verification by operating data shows that the established model has high precision and control strategy can be further studied based on this model.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2015
ISBN
978-94-6252-113-1
ISSN
2352-5401
DOI
10.2991/icadme-15.2015.263How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guanggang Shang
AU  - Lincang Ju
AU  - Li Tang
AU  - Yongjie Gao
PY  - 2015/10
DA  - 2015/10
TI  - Coordinated Control Object Modeling Based on Improved Particle Swarm Optimization Algorithm
BT  - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1424
EP  - 1429
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-15.2015.263
DO  - 10.2991/icadme-15.2015.263
ID  - Shang2015/10
ER  -