Closed-loop identification of restricted complexity models for feedback/feedforward control using iterative refinement

S. Bhatnagar, Daniel Rivera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A novel technique for closed-loop identification of reduced-order models for combined feedback/feedforward control is presented. For this purpose identification and control design are treated as joint problems for finding models whose intended use is the design of high performance compensators. The problem is solved by an iterative scheme of repeated identification and control design. The scheme involves the following steps: 1) injecting a dither signal at the manipulated variable and collecting closed-loop (u, y) data, 2) prefiltering the closed-loop data to emphasize the frequencies most important for control and 3) low order parameter estimation and control design.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherAmerican Automatic Control Council
Pages3012-3016
Number of pages5
Volume3
StatePublished - 1994
EventProceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA
Duration: Jun 29 1994Jul 1 1994

Other

OtherProceedings of the 1994 American Control Conference. Part 1 (of 3)
CityBaltimore, MD, USA
Period6/29/947/1/94

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Bhatnagar, S., & Rivera, D. (1994). Closed-loop identification of restricted complexity models for feedback/feedforward control using iterative refinement. In Proceedings of the American Control Conference (Vol. 3, pp. 3012-3016). American Automatic Control Council.