• DocumentCode
    3008493
  • Title

    Bit-stream based model predictive controller for a magnetic levitation system

  • Author

    Camasca, Claudio A. ; Swain, Akshya K. ; Patel, Nitish D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2011
  • fDate
    21-24 Nov. 2011
  • Firstpage
    1055
  • Lastpage
    1059
  • Abstract
    Bit-stream is a novel method of implementing control algorithms in digital logic chips such as FPGA and is an alternative to the traditional digital controller implementation and offers several advantages due to its inherent parallel nature. The present paper proposes a state space based model predictive controller (MPC) for the unstable magnetic levitation system and is the first bit stream based MPC reported in the literature. The proposed controller is implemented by interconnecting several bit-stream connecting blocks. The performance of the bit-stream based MPC is illustrated via simulations using Mentor Graphics ModelSim and compared to the results from an ideal MPC implemented using Matlab/Simulink. Results of the simulation demonstrate that the performance of the bit-stream based MPC matches well with the Simulink based controller and can therefore be a better alternative to classical digital controller implementation.
  • Keywords
    digital simulation; field programmable gate arrays; magnetic levitation; magnetic variables control; predictive control; state-space methods; FPGA; Matlab; Mentor Graphics ModelSim; Simulink based controller; bit-stream based model predictive controller; digital controller implementation; digital logic chips; magnetic levitation system; state space based model predictive controller; Aerospace electronics; Control systems; Magnetic levitation; Magnetic materials; Mathematical model; Photonic crystals; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2011 - 2011 IEEE Region 10 Conference
  • Conference_Location
    Bali
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4577-0256-3
  • Type

    conf

  • DOI
    10.1109/TENCON.2011.6129272
  • Filename
    6129272