An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model

Xiaofang Zha*, Yang Yang, Francesco Crusca

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

This paper proposes a parameter-dependent approach to robust fault detection and estimation problem for linear time-invariant (LTI) systems. The unknown input, actuator faults, sensor faults and disturbances are considered in our design. Through Projection lemma, we provide a sufficient affine matrix inequality for the integrated system in order to achieve robust performance criterion. In stead of obtaining the optimal solution by quadratic approach, we have used a parameter-dependent lyapunov approach which aimed at eliminating the involved coupling between system matrices and the lyapunov matrices; hence the conservativeness due to quadratic approach can be dramatically reduced. We present a design example in which we apply our method to a helicopter model.
Original languageEnglish
Title of host publication2008 Chinese Control and Decision Conference (CCDC 2008)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3353-3357
Number of pages5
ISBN (Print)9781424417346
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventChinese Control and Decision Conference (20th : 2008) - Yantai, China
Duration: 2 Jul 20084 Jul 2008

Conference

ConferenceChinese Control and Decision Conference (20th : 2008)
CityYantai, China
Period2/07/084/07/08

Keywords

  • robust control
  • fault detection filter
  • Linear Matrix Inequality (LMI)

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