• DocumentCode
    711290
  • Title

    FPGA hardware nonlinear control design for modular CubeSat attitude control system

  • Author

    Junquan Li ; Post, Mark ; Lee, Regina

  • Author_Institution
    Dept. of Earth & Space Sci. & Eng., York Univ., Toronto, ON, Canada
  • fYear
    2015
  • fDate
    7-14 March 2015
  • Firstpage
    1
  • Lastpage
    15
  • Abstract
    CubeSat attitude control systems must be compact, fast, and accurate to achieve success in space missions with stringent control requirements. Nonlinear control strategies allow the creation of robust algorithms for orbit and attitude control, but can have higher processing requirements for effective operation. In addition, It is desirable to distribute components of a CubeSat control system across hardware as much as possible to decrease the load on a central computing unit and to make the system more tolerant to point failures. Field Programmable Gate Array technology has become a popular solution to the limited electronic space and demanding processing requirements present in new-generation CubeSat systems. This paper will focus on demonstrating the feasibility and effectiveness of a proposed nonlinear adaptive fuzzy controller implemented on a Field Programmable Gate Array as part of a highly-integrated space hardware system that is under development.
  • Keywords
    adaptive control; aerospace computing; attitude control; control engineering computing; control system synthesis; field programmable gate arrays; fuzzy control; nonlinear control systems; robust control; FPGA hardware nonlinear control design; field programmable gate array technology; highly-integrated space hardware system; modular CubeSat attitude control system; nonlinear adaptive fuzzy controller; orbit control; robust algorithms; space missions; Attitude control; Control systems; Field programmable gate arrays; Hardware; Mathematical model; Satellites; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2015 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4799-5379-0
  • Type

    conf

  • DOI
    10.1109/AERO.2015.7119084
  • Filename
    7119084