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Fuzzy Reasoning Application in Redundant Manipulator Movement Regulation

  • Jianmin Jiao
  • Huan Li
  • Hongfu Zuo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

To study the joint velocity vector trajectory regulation and control method of a redundant space manipulator. A novel multi-restriction manipulator joint velocity vector control algorithm, based on fuzzy reasoning theory, is presented. The task executed by the redundant manipulator is broken into a series of sub-tasks expressed with vectors. The subordinate task is executed in the redundancy space of executing the primary task. The conventional joint velocity vector algorithm is combined with fuzzy reasoning theory so that every subordinate task is best optimized. Singular gesture and arithmetic singularity are avoided. The multi-restriction redundant manipulator joint velocity vector control problem is solved. The algorithm validity is proved by the numerical simulation results.

Keywords

Primary Task Fuzzy Theory Fuzzy Reasoning Redundant Manipulator Redundancy Resolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jianmin Jiao
    • 1
  • Huan Li
    • 2
  • Hongfu Zuo
    • 1
  1. 1.Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Yudao Street, Nanjing 210016China
  2. 2.Software College, Dahongying Education Group, Ningbo 315175China

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