Searching for robust minimal-order compensators

Qian Wang, Robert F. Stengel

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

A method of designing a family of robust compensators for a single-input/single-output linear system is presented. Each compensator’s transfer function is found by using a genetic-algorithm search for numerator and denominator coefficients. The search minimizes the probabilities of unsatisfactory stability and performance subject to real parameter variations of the plant. As the search progresses, probabilities are estimated by Monte Carlo evaluation. The design procedure employs a sweep from the lowest feasible transfer-function order to higher order, terminating either when design goals have been achieved or when no further improvement in robustness is evident. The method provides a means for estimating the best possible compensation of a given order based on repeated searches.

Original languageEnglish (US)
Pages (from-to)233-236
Number of pages4
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume123
Issue number2
DOIs
StatePublished - Jun 2001

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

Keywords

  • Distribution
  • Genetic algorithm
  • Monte Carlo Evaluation
  • Stochastic robustness
  • Weibull

Fingerprint Dive into the research topics of 'Searching for robust minimal-order compensators'. Together they form a unique fingerprint.

Cite this