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Adaptive generalized super-twisting algorithm based guidance law design

  • Harbin Institute of Technology

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

Abstract

In this paper, a direct hit-to-kill guidance law based on adaptive generalized super-twisting algorithm (GSTA) is proposed to intercept a highly maneuverable target. On the basis of switching logic, firstly, a novel gain adaption law (GAL) is designed to adjust the gains of GSTA on line, whose stability are analyzed via a strict Lyapunov function. Then, on the idea of equivalent control, the adaptive GSTA is used to design the discontinuous part of the guidance command, which can dynamically compensate the target's maneuverable acceleration and force the normal relative velocity converge to the vicinity of zero in finite time. Simulation results show that the miss distance is small enough to satisfy the conditions of direct hit-to-kill, and that the guidance law is robust to the target's maneuver.

Original languageEnglish
Title of host publication2016 14th International Workshop on Variable Structure Systems, VSS 2016
PublisherIEEE Computer Society
Pages47-52
Number of pages6
ISBN (Electronic)9781467397889
DOIs
StatePublished - 7 Jul 2016
Event14th International Workshop on Variable Structure Systems, VSS 2016 - Nanjing, China
Duration: 1 Jun 20164 Jun 2016

Publication series

NameProceedings of IEEE International Workshop on Variable Structure Systems
Volume2016-July
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824

Conference

Conference14th International Workshop on Variable Structure Systems, VSS 2016
Country/TerritoryChina
CityNanjing
Period1/06/164/06/16

Keywords

  • direct hit-to-kill
  • gain adaption law
  • generalized super twisting algorithm
  • guidance law
  • sliding mode control

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