Simulation-based Optimum Sensor Selection Design for an Uncertain EMS System via Monte-Carlo Technique

Konstantinos Michail, Argyrios C. Zolotas, Roger M. Goodall

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to structured uncertainties. The framework combines modern control design methods, Monte Carlo techniques and genetic algorithms. Without losing generality its efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.

Original languageEnglish
Pages (from-to)12650-12655
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume44
Issue number1
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes
Event18th World Congress: The International Federation of Automatic Control - Milano, Italy
Duration: 28 Aug 20112 Sep 2011
Conference number: 18

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