Indirect identification of continuous-time delay systems from step responses

Yan Yi Du, Jason S.H. Tsai, Harshal Patil, Leang S. Shieh, Yuhua Chen

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

In this paper, an indirect identification scheme is proposed for identifying the parameters of the continuous-time first-order plus time delay (FOPTD) model and the second-order plus time delay (SOPTD) model from step responses. Unlike the existing direct identification scheme, which identifies the parameters of the continuous-time FOPTD and SOPTD models directly from the continuous-time step response data, the proposed indirect scheme is to pre-identify discrete-time FOPTD and SOPTD models from the discretized continuous-time step response input-output data, then convert the obtained discrete-time models to the desirable continuous-time models. The proposed method is then extended to identify the afore-mentioned models from the step responses of the systems contaminated with input noise and constant output disturbance. The proposed simple alternative method exhibits good estimation performances in both the time domain and the frequency domain. Illustrative examples are presented to demonstrate the effectiveness of the proposed scheme.

Original languageEnglish
Pages (from-to)594-611
Number of pages18
JournalApplied Mathematical Modelling
Volume35
Issue number2
DOIs
Publication statusPublished - 2011 Feb

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Applied Mathematics

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