Discrete Sliding Mode Adaptive Control of HFV with Prediction Model

Yixin Cheng, Shu Yang, Bin Xu, Dong Zhang, Yu Zhang

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

2 Scopus citations

Abstract

This paper proposes a back-stepping based discrete sliding mode adaptive control scheme for hypersonic flight vehicle (HFV) in presence of unknown dynamics. With current control inputs being designed via future expected outputs, the uncertainty of discrete equivalent prediction model (EPM) is analyzed. The adaptive law based on the dead-zone function is designed to estimate the unknown bound of system uncertainties. The validity of the algorithm is verified in simulation results.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2253-2258
Number of pages6
ISBN (Electronic)9781728136660
DOIs
StatePublished - Jun 2019
Event28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2019-June

Conference

Conference28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Country/TerritoryCanada
CityVancouver
Period12/06/1914/06/19

Keywords

  • discrete systems
  • hypersonic flight vehicle
  • prediction model
  • sliding mode control

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