Adaptive mode suppression for aeroelastic hypersonic vehicle

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1 Scopus citations

Abstract

To the unique large-scale perturbations of structural modal parameters, the elastic model and the modal parameter identification model of hypersonic vehicle is founded and the adaptive vibration suppression system is designed. Based on the robust Hco filter and LQR optimal control technology, the rigid controller is designed. Using Kalman filtering, the modal frequency can be identified on-line. Simulation shows that, in the ±20% random perturbation of aerodynamic parameters and ±30% random perturbation of modal parameters, modal frequency is identified exactly, the rigid angle of attack(AOA) is tracking accurately, and the flexible AOA is well suppressed. The precision of local AOA in scramjet inlet is ±0.5 degree, which can meet the demand of fine attitude control.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages68-72
Number of pages5
DOIs
StatePublished - 2011
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Publication series

NameProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/TerritoryChina
CityBeijing
Period21/06/1123/06/11

Keywords

  • adaptive
  • hypersonic vehicles
  • kalman filtering
  • modal observer
  • mode suppression
  • robust H filtering

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