Coordinated control of two arms using fuzzy inference

  • Kim, Moon-Ju (Dept. of Electronic Engineering, Yonsei Univ, 134 Shinchon-dong, Seodaemun-gu, 120-749Dept. of Electronic Engineering, Yonsei Univ, 134 Shinchon-dong, Seodaemun-gu, 120-749Dept. of Electronic Engineering, Yonsei Univ, 134 Shinchon-dong, Seodaemun-gu, 120-749Dept. of Control and Instrumentation Eng. Soon Chun Hyang Univ.) ;
  • Park, Min-Kee (Dept. of Electronic Engineering, Yonsei Univ, 134 Shinchon-dong, Seodaemun-gu, 120-749) ;
  • Ji, Seung-Hwan ;
  • Kim, Seung-Woo ;
  • Park, Mignon
  • 발행 : 1994.10.01

초록

Recently, complicated and dexterous tasks with two or more arms are needed in ninny robot manipulator applications which can not be accomplished with one manipulator. In general, when two arms manipulate an object, tile dynamics of the arms and the object should be considered simultaneously. In order to control the force of tile arms, we can use various control schemes based upon dynamic modeling. But, there are difficulties in solving inverse dynamics equations, and the environment where a manipulator performs various tasks is usually unknown, and we can not describe a model precisely, for instances, the effect of the joint flexibility, and the friction between the arm and the object. Therefore, in this paper, we suggest a new force control method employing fuzzy inference without solving dynamic equations. Fuzzy inference rules and parameters are designed and adjusted with the automatic fuzzy modeling method using the Hough transform and gradient descent method.

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