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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6541
Title: Identification of low-order process model with time delay from closed-loop step test
Authors: Liu, Tao
Gao, Furong
Zhao, Chunhui
Keywords: Closed loop systems
Laplace transform
Closed-loop step response test
Frequency response estimation algorithm
Issue Date: Dec-2009
Citation: Proceedings of the 48th IEEE Decision and Control Conference, held jointly with the 28th Chinese Control Conference (CDC/CCC 2009), 15-18 December 2009, Shanghai, China, p. 2587-2591
Abstract: 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.
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URI: http://hdl.handle.net/1783.1/6541
Appears in Collections:CBME Conference Papers

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