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A hysteresis quantizer based artificial time delayed control strategy for re-entry phase of reusable launch vehicle

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

2 Scopus citations

Abstract

This work addresses the attitude tracking problem of reusable launch vehicle (RLV) in its re-entry phase under limited use of communication resources. The inherent nonlinear dynamics and challenging environmental conditions render the objective of navigating the RLV along a desired path to be a difficult task. In this regard, a time-delay based control (TDC) strategy with input hysteresis quantizer is proposed to achieve robustness against external disturbances and model uncertainties. The TDC approach utilizes input-output data of the immediate past instant for estimating the uncertainties effecting the space shuttle. While, the input quantizer discretizes the continuous TDC command to a finite set of predefined discrete levels. Thus, wireless transmission of control command to the actuator is carried out at a lower rate and obeys the communication constraint. Stability analysis using Lyapunov's method is carried out to demonstrate uniformly ultimately bounded (UUB) convergence of the system states on application of the proposed control scheme. Simulation studies have been included to highlight efficacy of the proposed control scheme in terms of robust tracking of the reference trajectory and control update reduction.

Original languageEnglish
Title of host publication2021 29th Mediterranean Conference on Control and Automation, MED 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages747-752
Number of pages6
ISBN (Electronic)9781665422581
DOIs
StatePublished - 22 Jun 2021
Externally publishedYes
Event29th Mediterranean Conference on Control and Automation, MED 2021 - Bari, Puglia, Italy
Duration: 22 Jun 202125 Jun 2021

Publication series

Name2021 29th Mediterranean Conference on Control and Automation, MED 2021

Conference

Conference29th Mediterranean Conference on Control and Automation, MED 2021
Country/TerritoryItaly
CityBari, Puglia
Period22/06/2125/06/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Engineering (miscellaneous)
  • Control and Optimization

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