location: Current position: Prof. Tao Liu >> Scientific Research >> Paper Publications

Identification of Discrete-Time Output Error Model Using Filtered Input Excitation for Integrating Processes With Time Delay

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Indexed by:期刊论文

Date of Publication:2017-05-01

Journal:IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Included Journals:SCIE、EI

Volume:62

Issue:5

Page Number:2524-2530

ISSN No.:0018-9286

Key Words:Discrete-time domain; integrating processes; linear interpolation; output error model; time delay

Abstract:A discrete-time output error (OE) model identification method is proposed for industrial integrating processes with time delay, to facilitate the discrete-time controller design and implementation in sampled systems. By subtly introducing a differential filter to the input excitation, an open-loop identification test can be performed for such a process while complying with the output limit. Correspondingly, the parameter estimation is equivalently transformed to identify a stable type OE model with time delay. A recursive identification algorithm is developed to simultaneously estimate all the model parameters including the integer delay, and a linear interpolation of the input excitation is given for the recursive computation to guarantee consistent estimation. The convergence of parameter estimation is analyzed with a proof. An illustrative example is used to demonstrate the effectiveness of the proposed method.

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