Research on Thermal Multivariable System Identification Based on Living Operating Data

DOI

10.2991/icmmita-15.2015.157How to use a DOI?

Keywords

Thermal Power Plant; Multi-variable Loop; Closed-loop Identification; Principle Component Analysis; Subspace Algorithm

Abstract

This paper introduces an identification algorithm for a thermal system with multi-variable closed-loops. First, a kind of subspace identification algorithm based on the principle component analysis (PCA) is analyzed. Next, the PCA is used to identify the parameters of the process, where dynamic model of coordinated control system (CCS) of power plant is obtained. Finally, an example for a subcritical drum boiler is used to illustrate the effectiveness of the introduced identification algorithm. The results demonstrate the contributions of the developed identification method to the closed-loops in thermal power plant

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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TY  - CONF
AU  - Shihe Chen
AU  - Xi Zhang
AU  - Jianguo Duan
AU  - Li Zhang
AU  - Xichun Bao
AU  - Yuguang Niu
AU  - Zhongwei Lin
PY  - 2015/11
DA  - 2015/11
TI  - Research on Thermal Multivariable System Identification Based on Living Operating Data
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 846
EP  - 852
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.157
DO  - 10.2991/icmmita-15.2015.157
ID  - Chen2015/11
ER  -