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

Authors Liu, Tao HKUST affiliated (currently or previously)
Gao, Furong View this author's profile
Zhao, Chunhui HKUST affiliated (currently or previously)
Issue Date 2009
Source Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes , 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.
ISSN 0191-2216
ISBN 9781424438723
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Language English
Format Conference paper
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