• DocumentCode
    183587
  • Title

    Constrained distributed MPC for LPV systems with actuator saturation and state delay

  • Author

    Langwen Zhang ; Jingcheng Wang ; Yang Ge

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4901
  • Lastpage
    4906
  • Abstract
    In this work, a new approach to design constrained distributed MPC is proposed for linear parameter varying (LPV) systems subject to saturating actuator and state delay. Polytopic type uncertainty and only one state delay are considered in this paper. The algorithm requires decomposing the whole system into M subsystems and solving M linear matrix inequality (LMI) optimization problems for each subsystem. An iterative online algorithm for constrained distributed MPC is developed to coordinate the distributed controllers. The algorithm is a flexible structure of robust control, which allows the independent computation of the state feedback laws for the subsystems. A numerical example is simulated to show the effectiveness of the constrained distributed MPC algorithm.
  • Keywords
    control system synthesis; delays; distributed parameter systems; iterative methods; linear matrix inequalities; linear systems; nonlinear dynamical systems; optimisation; predictive control; robust control; state feedback; uncertain systems; LMI; LPV systems; M linear matrix inequality optimization problems; M subsystems; actuator saturation; constrained distributed MPC design; distributed controllers; flexible robust control structure; iterative online algorithm; linear parameter varying systems; model predictive control; polytopic type uncertainty; state delay; state feedback laws; Actuators; Algorithm design and analysis; Delays; Optimization; Robustness; Uncertain systems; Decentralized control; Predictive control for linear systems; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858645
  • Filename
    6858645