• DocumentCode
    2569477
  • Title

    Novel direct adaptive fuzzy control system design

  • Author

    Hsueh, Yao-Chu ; Su, Shun-Feng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    389
  • Lastpage
    394
  • Abstract
    In our earlier study, the property of L2-gain robust control is incorporated into the direct adaptive fuzzy control design with the use of the compensative controller. The tracking control performance is guaranteed. In the study, we further employ the L2-gain property to improve the adaptive law design. Due to the L2-gain control property, the approximate error of the fuzzy system is estimable, and thus, an adaptive law with the approximate error feedback is proposed in the study. The novel adaptive law improves the learning speed so that the learning performances can be better. Since the L2-gain based compensative controller can guarantee the tracking control performance and remove the effect of the gain function in the adaptive law. The direct adaptive fuzzy control system design of the paper not only has the satisfactory tracking control performance but also has the better learning performance. Various simulations are conducted to demonstrate the effectiveness of the proposed design.
  • Keywords
    adaptive control; compensation; control system synthesis; feedback; fuzzy control; gain control; learning systems; position control; robust control; L2-gain robust control; compensative controller; direct adaptive fuzzy control system design; error feedback; learning performance; tracking control performance; Adaptive control; Adaptive systems; Control systems; Error correction; Feedback; Fuzzy control; Fuzzy systems; Performance gain; Programmable control; Robust control; L2-gain; adaptive fuzzy control; learning control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346187
  • Filename
    5346187