• DocumentCode
    232714
  • Title

    Modeling and nonlinear model predictive control of kite system for high altitude wind energy generation

  • Author

    Zhenhua Zhao ; Jun Yang ; Hong Yue ; Shihua Li

  • Author_Institution
    Key Lab. of Meas. & Control of CSE, Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6998
  • Lastpage
    7003
  • Abstract
    Kitenergy is an emerging technology in airborne wind energy (AWE) that captures high altitude wind energy (HAWE) by exploiting its controlled flight of tethered wings. Compared with its ground level counterparts, AWE has the advantages to harness wind energy with a higher efficiency and a more consistent behavior. Automatic control of the kite´s airfoils is crucial to the proper running of kitenergy systems. In this paper, a control oriented model of a tethered kite system is developed step by step, and a simplified state-space model is established as a first attempt. Based on this model, a nonlinear model predictive controller (NMPC) is designed to track a pre-optimized figure-eight trajectory. The merits of the NMPC are validated by simulation studies on a practical-scale kitenergy system model.
  • Keywords
    aerospace components; aerospace control; nonlinear control systems; power system control; predictive control; trajectory control; wind power; AWE; HAWE; NMPC; airborne wind energy; control oriented model; controlled flight; high altitude wind energy generation; kite airfoils; kite system; nonlinear model predictive control; practical-scale kitenergy system model; preoptimized figure-eight trajectory; state-space model; tethered kite system; tethered wings; Aerodynamics; Atmospheric modeling; Force; Trajectory; Vectors; Wind energy; Wind speed; Airborne wind energy (AWE); High-altitude wind energy (HAWE); Modeling of kite system; Nonlinear model predictive control (NMPC); Trajectory tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896155
  • Filename
    6896155