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Satellite five-axis attitude control simulation based on BP neural network sliding mode controller

  • Jiangchuan Qin*
  • , Xiaomeng Dong
  • , Yunjie Wu
  • , Jianmin Wang
  • *Corresponding author for this work
  • Beihang University
  • CAST

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

Abstract

To deal with the current high demand for the much more complex satellite control system with high precision, the requirements for the control algorithm become more and more critical. This paper targeted at satellite systems with cameras that capture targets. By simplifying the derivation of the Kane equations, Five-axis satellite dynamic model with flexible appendage impacts is drawn, then modeling CMGs to be the implementing agency for this satellite, adding integration module, whole system simulation model is got. This paper studies the optimizing parameters of sliding mode controller by BP neural network for satellite attitude control and the effect and precision can be greatly improved. It is verified that the intelligent algorithm applied to the parameters optimization of traditional controller can be used in satellite attitude control.

Original languageEnglish
Title of host publication2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages480-485
Number of pages6
ISBN (Electronic)9781479946990
DOIs
StatePublished - 12 Jan 2015
Event6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, China
Duration: 8 Aug 201410 Aug 2014

Publication series

Name2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Conference

Conference6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Country/TerritoryChina
CityYantai
Period8/08/1410/08/14

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