Automatic differentiation based nonlinear model predictive control of satellites using magneto-torquers

Yi Cao, Wen Hua Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Satellite control using magneto-torquers represents a control challenge combined with strong nonlinearity, variable dynamics and partial controllability. An automatic differentiation based nonlinear model predictive control (NMPC) algorithm is developed in this work to tackle these issues. Based on the previously developed formulation of NMPC, a novel variable sampling time scheme is proposed to combine with the NMPC algorithm so that both control performance, particularly the response speed when the satellite is far away from the desired position, and the closed-loop stability when the satellite is at its equilibrium position can be comfortably satisfied. The proposed approach is demonstrated through nonlinear simulation of a specific satellite case with satisfactory results obtained.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages913-918
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Magneto-torquer
  • Nonlinear systems
  • Predictive control
  • Satellite

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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