Robustness/performance enhancement of power plant PID controller Part I: Model identification and robust controller design

Insu Chang, Cyrus Taft, John Sorge, Mark Little, Joseph Bentsman

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

Abstract

This paper describes a research project to develop and demonstrate a method to obtain much of the benefits of a full-order, robust design but with minimal modifications to the existing proportional-integral-derivative (PID)-based control structure. This paper mainly focuses on the first step: modeling, identification, and H controller design. Two plant models were obtained by using the collected data: a high-order model and a reduced-order model. From the reduced-order model, a full-order H controller was designed to guarantee the closed-loop robustness under the plant uncertainty. Performance robustness of the proposed H controller is demonstrated through the simulation results.

Original languageEnglish (US)
Title of host publication57th ISA Power Industry Division Symposium 2014, POWID 2014 - Power Generation
Subtitle of host publicationInstrumentation and Control Solutions for Today's Industry Challenges
PublisherInternational Society of Automation (ISA)
Pages274-293
Number of pages20
ISBN (Electronic)9781510801998
StatePublished - 2014
Event57th ISA Power Industry Division Symposium 2014 - Power Generation: Instrumentation and Control Solutions for Today's Industry Challenges, POWID 2014 - Scottsdale, United States
Duration: Jun 1 2014Jun 6 2014

Publication series

Name57th ISA Power Industry Division Symposium 2014, POWID 2014 - Power Generation: Instrumentation and Control Solutions for Today's Industry Challenges

Other

Other57th ISA Power Industry Division Symposium 2014 - Power Generation: Instrumentation and Control Solutions for Today's Industry Challenges, POWID 2014
Country/TerritoryUnited States
CityScottsdale
Period6/1/146/6/14

Keywords

  • H Control
  • PID Controller
  • Robustness

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Instrumentation

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