• DocumentCode
    2839671
  • Title

    Fuzzy gravity compensation for wall-climbing microrobots

  • Author

    Xiao, Jun ; Song, Xing ; Qin, Bin ; Wang, Hongguang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    4435
  • Lastpage
    4440
  • Abstract
    A fuzzy control system with gravity compensation is presented to improve the performance of the wall-climbing microrobots. After introduction of the robot system, robot motion modes are described. And kinematic models and dynamic models are introduced. Then a fuzzy motion controller is designed to improve control performance and reduce power consumption by the suitable selection of fuzzy sets and inference methods, as well as the definition of corresponding membership functions and control rule bases. A fuzzy logic compensator is developed to compensate the gravitational effects according to different robot configurations and task situations. Experimental results prove the validity of the proposed methods.
  • Keywords
    fuzzy control; fuzzy set theory; inference mechanisms; knowledge based systems; microrobots; mobile robots; motion control; robot dynamics; robot kinematics; control rule bases; dynamic model; fuzzy control system; fuzzy gravity compensation; fuzzy logic compensator; fuzzy sets; inference methods; kinematic model; membership functions; robot motion modes; wall-climbing microrobots; Climbing robots; Energy consumption; Fuzzy control; Fuzzy sets; Gravity; Mobile robots; Motion control; Power system modeling; Robot kinematics; Robotics and automation; Fuzzy control; Gravity compensation; Motion control; Wall-climbing robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498341
  • Filename
    5498341