• DocumentCode
    1292248
  • Title

    Fuzzy control strategy for Acrobots combining model-free and model-based control

  • Author

    Lai, X. ; She, J.H. ; Ohyama, Y. ; Cai, Z.

  • Author_Institution
    Dept. of Autom. Control Eng., Central South Univ. of Technol., Changsha, China
  • Volume
    146
  • Issue
    6
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    505
  • Lastpage
    510
  • Abstract
    A fuzzy control strategy for the control of an Acrobot is described. The strategy combines model-free and model-based fuzzy control. The model-free fuzzy controller designed for the up-swing ensures that the energy of the Acrobot increases with each swing. The control law for the torque is derived directly from the energy of the Acrobot. The model-based fuzzy controller, which is based on a Takagi-Sugeno fuzzy model for balancing, employs the concept of parallel distributed compensation. The stability of the fuzzy-control system for balance control is guaranteed by a common symmetric positive matrix, which satisfies linear matrix inequalities and is found by a convex optimisation technique
  • Keywords
    compensation; fuzzy control; matrix algebra; optimisation; robot dynamics; stability; torque control; Acrobots; Takagi-Sugeno model; convex optimisation; distributed compensation; dynamics; fuzzy control; linear matrix inequality; model-based control; model-free control; stability; torque control;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19990749
  • Filename
    818076