Adaptive hypersonic flight control under asymmetric AOA constraint

Yuyan Guo, Bin Xu, Yueping Wang, Xiaoxiang Hu, Hao Feng, Yonghua Fan

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

Abstract

This paper investigates an asymmetric barrier Lyapunov function (ABLF) based adaptive learning controller for hypersonic flight vehicle (HFV). With consideration of the asymmetric constraint on angle of attack (AOA), by analysing the ABLF, the controller is designed based on back-stepping technique with AOA constraint being applied. Moreover, the composite learning method is utilized to estimate unknown nonlinear functions. Simulation results verify that the designed controller can guarantee good tracking performance, and the AOA tracking error is well restricted.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages8271-8276
Number of pages6
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Angleofattack(AOA)constraint
  • AsymmetricbarrierLyapunovfunction(ABLF)
  • Composite learning
  • Hypersonicflightvehicle(HFV)
  • Neural networks (NNs)

Fingerprint

Dive into the research topics of 'Adaptive hypersonic flight control under asymmetric AOA constraint'. Together they form a unique fingerprint.

Cite this