LFT model reduction and controller synthesis for a pressurized water reactor

Pascale Bendotti, Carolyn Beck

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We consider model reduction of and control design for a Pressurized Water Reactor (PWR) of a nuclear power plant. Less conservative design and analysis results are obtained using a recent model reduction technique for uncertain systems modelled as Linear Fractional Transformations on repeated scalar uncertainty sets. Controllers for the PWR are then designed using μ-synthesis techniques. The change in both the operating power and reactivity of the fuel are modelled as slowly time-varying uncertainty, and the objective is to maintain performance over all parameter variations. The resulting closed loop performance of the PWR is compared to previous design results.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages4480-4485
Number of pages6
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0191-2216

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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