Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6541

Identification of low-order process model with time delay from closed-loop step test

Authors Liu, T.
Gao, F.
Zhao, C.
Issue Date 2009
Source Proceedings of the IEEE Conference on Decision and Control, 2009, p. 2587-2591
Summary To facilitate control-oriented model identification during closed-loop system operation, a low-order model identification method is proposed in this paper, based on using closed-loop step response test. By introducing a damping factor to the closed-loop step response for realization of the Laplace transform, a frequency response estimation algorithm is developed in terms of the closed-loop control structure used for identification. Correspondingly, two model identification algorithms are derived analytically for obtaining the widely used low-order process models of first-order-plus-dead-time (FOPDT) and second-order-plus-dead-time (SOPDT), respectively. Illustrative examples from the recent literature are given to demonstrate the effectiveness of the proposed identification algorithms. ©2009 IEEE.
Subjects
ISSN 0191-2216
Rights © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language English
Format Conference paper
Access View full-text via DOI
View full-text via Scopus
Find@HKUST
Files in this item:
File Description Size Format
IdentificationofLOW.pdf 386128 B Adobe PDF