• DocumentCode
    17131
  • Title

    Adaptive Robust Control for Fuzzy Mechanical Systems: Constraint-Following and Redundancy in Constraints

  • Author

    Qingmin Huang ; Ye-Hwa Chen ; Aiguo Cheng

  • Author_Institution
    State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ., Changsha, China
  • Volume
    23
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1113
  • Lastpage
    1126
  • Abstract
    Motion control for uncertain mechanical systems is considered. Emphasis is on constraint following, while the constraint may be redundant. The uncertainty in the system, which is (possibly) fast time varying, is bounded. The bound is unknown but is assumed to be within a prescribed fuzzy set. An adaptive robust control is proposed based on the fuzzy property of the uncertainty. Both the mechanical system and the control are deterministic and, hence, not if-then fuzzy rule based. The performance of the resulting controlled system is twofold. First, some deterministic performance is guaranteed, regardless of the value of the uncertainty. Second, the minimization of a fuzzy-based performance index is guaranteed based on an optimal choice of a control design parameter. The effectiveness of the design procedure is illustrated by the simulation control of a digging excavator.
  • Keywords
    adaptive control; fuzzy set theory; fuzzy systems; motion control; optimal control; performance index; redundancy; robust control; time-varying systems; uncertain systems; IF-THEN fuzzy rule; adaptive robust control; constraint redundancy; constraint-following; control design parameter; controlled system; deterministic performance; digging excavator; fuzzy mechanical systems; fuzzy property; fuzzy set; fuzzy-based performance index minimization; motion control; uncertain mechanical systems; Adaptive systems; Control design; Force; Mechanical systems; Robust control; Uncertainty; Adaptive robust control; constraint-following; fuzzy set theory; mechanical system; optimal design;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2014.2346241
  • Filename
    6873266