• DocumentCode
    2780600
  • Title

    Distributed model predictive control with communication complete failure for multi-aircrafts formation

  • Author

    Yi, Chai ; Shan-bi, Wei ; Mao-yun, Guo ; Rui, Ling

  • Author_Institution
    Coll. of Autom., ChongQing Univ., Chongqing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4663
  • Lastpage
    4668
  • Abstract
    This paper proposed a dual-mode decentralized model predictive control (DMPC) method with communication complete failure for multi-aircrafts formation. The formation problem with normal communication is formulated as decentralized model predictive control scheme based on flying state information translation and compatibility constraint. And the coupled constraint (collision avoidance) between aircrafts is taken as noncoupled constraint which is depended on compatibility constraint. The formation problem with communication complete failure is formulated as decentralized model predictive control scheme based on flying state detection and optimization of multi-aircrafts. The proposed decentralized control scheme is designed as quadratic programs with quadratic constraint. A simulation example is given to illustrate the effectiveness of the proposed scheme.
  • Keywords
    aircraft; collision avoidance; distributed control; predictive control; quadratic programming; collision avoidance; communication complete failure; dual-mode decentralized model predictive control method; flying state detection; flying state information translation; multi-aircrafts formation; multi-aircrafts optimization; quadratic programs; Aircraft; Automation; Bismuth; Collision avoidance; Constraint optimization; Design optimization; Distributed control; Educational institutions; Predictive control; Predictive models; communication complete failure; coupled constraint; dual-mode distributed model predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191801
  • Filename
    5191801