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Globally Exponential Regulation of Hypersonic Vehicle with Strong Nonlinearies

  • Shaohua Yang*
  • , Xia Li
  • , Zhen Liu
  • , Yanjun Zhang
  • *Corresponding author for this work
  • Qufu Normal University
  • CAS - Institute of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper considers a regulation problem for a longitudinal dynamical model of hypersonic vehicles with strong nonlinearies. The problem is reduced to a stabilization problem by shifting the desired equilibrium position to the origin. By means of a control input domination idea and suitable coordinate transformations, the longitudinal dynamics of hypersonic vehicles with engine throttle setting dynamics are divided into a flight-path angle controlled subsystem and a velocity controlled subsystem. A new nonlinear state-feedback control scheme is proposed using a parameter separation technique for dealing with strong nonlinearies and a backstepping approach for designing virtual and actual controllers. The proposed controller ensures the closed-loop signals global boundedness and achieves exponential regulation throughout the vehicle's operational envelope. Simulation results show the desired control system performance for the hypersonic vehicle models with strong nonlinearies.

Original languageEnglish
Title of host publication2023 6th International Symposium on Autonomous Systems, ISAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316155
DOIs
Publication statusPublished - 2023
Event6th International Symposium on Autonomous Systems, ISAS 2023 - Nanjing, China
Duration: 23 Jun 2023 → 25 Jun 2023

Publication series

Name2023 6th International Symposium on Autonomous Systems, ISAS 2023

Conference

Conference6th International Symposium on Autonomous Systems, ISAS 2023
Country/TerritoryChina
CityNanjing
Period23/06/23 → 25/06/23

Keywords

  • Hypersonic vehicle
  • globally exponential regulation
  • parameter separation technique
  • strong nonlinearies

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