MISO-Structure-Based Control-Relevant Identification of MIMO Systems with Steady-State Gain Matching

C. Shreesha, Ravindra D. Gudi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The prefilter-based control-relevant identification (CRI) scheme proposed by Rivera et al. [IEEE Trans. Autom. Control 1992, 37 (7), 964-974] for single-input/single-output (SISO) systems estimates a model of the system that matches the true system dynamics in a range of frequencies that are important and relevant for closed-loop performance. In this paper, an extension of this approach is proposed for the CRI of multi-input/multi-output (MIMO) systems by partitioning the overall system into individual multi-input/single-output (MISO) structures. Furthermore, CRI methodologies proposed hitherto have not examined the issue of accurate identification of the steady-state gain. In this paper, the importance of achieving good steady-state gain match is emphasized, and a method is proposed to identify a control-relevant model that has a good match, at steady state (zero frequency), as well as in the control-relevant frequency band, with the true plant. The effect of the proposed control-relevant prefiltering on the identification of the high- and low-gain directions is also analyzed in this paper. The proposed methodology is validated using simulations on representative problems from the literature and on a paper machine problem.

Original languageEnglish
Pages (from-to)2534-2547
Number of pages14
JournalIndustrial and Engineering Chemistry Research
Volume43
Issue number10
Publication statusPublished - 12-05-2004

All Science Journal Classification (ASJC) codes

  • Chemical Engineering (miscellaneous)
  • Environmental Science(all)
  • Polymers and Plastics

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