Time-energy efficient path tracking for spacecraft in finite-time under input saturation

Syed Muhammad Amrr, Arunava Banerjee, M. Nabi

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

2 Scopus citations

Abstract

This paper develops a robust controller for the attitude tracking of time-energy near-optimal angular velocity obtained by the Legendre Pseudospectral method (LPSM). The information of near-optimal reference trajectory is realized offline by employing the LPSM for the nominal spacecraft model, which is without any uncertainties. Then, the proposed robust controller is employed online to track that near-optimal path while compensating for the inertial uncertainties, external disturbances, and noises under input saturation. The robust scheme is developed by combining the finite-time robust non-linear disturbance observer (RNDO) and the adaptive non-singular fast terminal sliding mode control (NSFTSMC). The estimated output of RNDO directly attenuates lumped disturbance of moderate frequency and thus significantly helps in alleviating the chattering problem. Whereas NSFTSMC ensures the finite-time convergence of relative system states, and adaptive law solves the overestimation problem of controller gains while rejecting high-frequency disturbances. The simulation analysis is carried out to validate the proposed strategy.

Original languageEnglish
Title of host publication2020 28th Mediterranean Conference on Control and Automation, MED 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages230-235
Number of pages6
ISBN (Electronic)9781728157429
DOIs
StatePublished - Sep 2020
Externally publishedYes
Event28th Mediterranean Conference on Control and Automation, MED 2020 - Saint-Raphael, France
Duration: 15 Sep 202018 Sep 2020

Publication series

Name2020 28th Mediterranean Conference on Control and Automation, MED 2020

Conference

Conference28th Mediterranean Conference on Control and Automation, MED 2020
Country/TerritoryFrance
CitySaint-Raphael
Period15/09/2018/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Modeling and Simulation

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