Research on Thermal Multivariable System Identification Based on Living Operating Data
- https://doi.org/10.2991/icmmita-15.2015.157How to use a DOI?
- Thermal Power Plant; Multi-variable Loop; Closed-loop Identification; Principle Component Analysis; Subspace Algorithm
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
- © 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 - 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 - https://doi.org/10.2991/icmmita-15.2015.157 ID - Chen2015/11 ER -