• DocumentCode
    680545
  • Title

    Model predictive control (MPC) design and implementation using algorithm-3 on board SPARTAN 6 FPGA SP605 evaluation kit

  • Author

    Ekaputri, Cahyantari ; Syaichu-Rohman, Arief

  • Author_Institution
    Dept. of Electr. Eng., Bandung Inst. of Technol., Bandung, Indonesia
  • fYear
    2013
  • fDate
    28-30 Aug. 2013
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    Model Predictive Control (MPC) is based on the idea to produce control input as a solution to real-time optimization problem. The advantage of MPC is that MPC can works effectively within constraints of the real actuator which are relatively narrow. The disadvantage of MPC lies on its complex algorithm that needs longer time than the other controller. This paper discuss the MPC application for TITO (Two Input Two Output) system and its implementation on board SPARTAN 6 FPGA SP605 Evaluation Kit with Microblaze MCS. The implemented MPC algorithm 3 on board SPARTAN 6 FPGA SP605 Evaluation Kit with Microblaze MCS can be used by different plant with fast responses, with minimal plant´s time constant is 3.9 seconds.
  • Keywords
    MIMO systems; control system synthesis; digital control; field programmable gate arrays; predictive control; MPC design; Microblaze MCS; TITO system; actuator constraints; algorithm-3 on board SPARTAN 6 FPGA SP605 evaluation kit; control input production; model predictive control design; real-time optimization problem; time 3.9 s; two input two output system; Actuators; Algorithm design and analysis; Equations; Field programmable gate arrays; MATLAB; Mathematical model; Prediction algorithms; MPC; Microblaze MCS; TITO system; algorithm-3; board SPARTAN 6 FPGA SP605 Evaluation Kit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation Control and Automation (ICA), 2013 3rd International Conference on
  • Conference_Location
    Ungasan
  • Print_ISBN
    978-1-4673-5795-1
  • Type

    conf

  • DOI
    10.1109/ICA.2013.6734056
  • Filename
    6734056