An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariable systems

Hyunjin Lee, Daniel Rivera

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

5 Scopus citations

Abstract

A novel methodology that integrates a directional multisine input design procedure and control-relevant parameter estimation is developed in this paper, leading to desirable models for the control of highly interactive multivariable process systems. A priori information on system directionality is utilized in the input design procedure and recognized in the subsequent parameter estimation step, which consists of control-relevant curvefitting of frequency responses obtained from identification data. As a result, a systematic procedure for generating a control-relevant model with balanced gain directionality is developed, appropriate for highly interactive processes. A case study involving a binary distillation column and Model Predictive Control is presented in this paper to demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 American Control Conference
Pages1665-1670
Number of pages6
StatePublished - Dec 1 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Other

Other2006 American Control Conference
CountryUnited States
CityMinneapolis, MN
Period6/14/066/16/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariable systems'. Together they form a unique fingerprint.

Cite this