Robust gain scheduling control of air-breathing hypersonic vehicle via linear parameter varying technique

Cunkan Lu, Dudu Zhong, Weiwei Yu, Jie Yan

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

11 Scopus citations

Abstract

The design of a robust gain scheduling controller which is scheduled on Mach number and altitude for the airbreathing hypersonic vehicle (AHV) is presented. In order to capture the nonlinear airspeed and altitude dependence of AHV, a linear parameter varying (LPV) model is constructed from a set of linearization of the AHV longitudinal dynamics. The linear fractional transformation (LFT) representation of the LPV model is obtained using the graph approach so that it can be used for robust control design technique. The control synthesis structure including this LFT representation and the uncertainty model of AHV is successfully used for controller design based on D-K iteration. Simulation result of the designed controller presents excellent tracking performance independent of the fight conditions of AHV.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop Proceedings, KAM 2008
Pages734-737
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, KAM 2008 - Wuhan, China
Duration: 21 Dec 200822 Dec 2008

Publication series

Name2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop Proceedings, KAM 2008

Conference

Conference2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, KAM 2008
Country/TerritoryChina
CityWuhan
Period21/12/0822/12/08

Keywords

  • μ synthesis
  • Gain scheduled
  • Hypersonic vehicle
  • Linear fractional transformation
  • Linear parameter varying
  • Robust control

Fingerprint

Dive into the research topics of 'Robust gain scheduling control of air-breathing hypersonic vehicle via linear parameter varying technique'. Together they form a unique fingerprint.

Cite this