Modeling and analysis of the predictive control effects on nano-satellite's heat-pipe thermal system

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Abstract

Mathematical model and control strategy are essential for active thermal control of nano-satellites. This paper presents a 5-nodal thermal network for transient performance calculation of heat-pipe thermal system which governs the temperature environment inside the nano-satellites. Two predictive control algorithms including implicit generalized predictive self-tuning control (IGPSC) and dynamic matrix control (DMC) were presented and discussed for the close-loop control of nano-satellite's heat-pipe thermal system, their control effects were numerically investigated and compared under different thermal disturbances. The numerical investigation results suggest that both IGPSC and DMC methods are effective for the nano-satellite's active thermal control. However, the control effects under DMC are better than that under IGPSC for excellent temperature tracking ability, fast responses and small overshoots.

Original languageEnglish
Title of host publicationAIM 2012 - 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Conference Digest
Pages831-836
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012 - Kaohsiung, Taiwan, Province of China
Duration: 11 Jul 201214 Jul 2012

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period11/07/1214/07/12

Keywords

  • Dynamic Matrix Control
  • Generalized predictive control
  • Heat-Pipe thermal system
  • Nano-satellite

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