State Distinction Based Identification Method for a Thermal Process

DOI

10.2991/icmmita-15.2015.154How to use a DOI?

Keywords

system identification; state distinction; least-square algorithm; thermal process

Abstract

At present, the closed-loop identification methods of nonlinear systems can not provide an satisfied performance. Generally, the step responses are performed to obtain the acceptable models of industrial processes. In consideration of this, the paper proposes a state distinction based identification method. According to the slopes of response, the approximated step responses can be distinguished from the living operating data and stored in the predefined array firstly. Based on the obtained data, the least square identification (LSI) is introduced to identify the linearized model of the process. The sum-square error (SSE) is used to determine the validity of the identified model. The example for a thermal process is employed to demonstrate the effectiveness of the proposed identification method. The results show that the identification method can provide an acceptable accuracy of the identified process in comparison with the results of step response.

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/).

Download article (PDF)

TY  - CONF
AU  - Ruifeng Zhang
AU  - Xiaojun Li
AU  - Xiankui Wen
AU  - Hao Nan
AU  - Yihao Zhang
PY  - 2015/11
DA  - 2015/11
TI  - State Distinction Based Identification Method for a Thermal Process
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 825
EP  - 833
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.154
DO  - 10.2991/icmmita-15.2015.154
ID  - Zhang2015/11
ER  -