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Singularity avoidance of 6R decoupled manipulator using improved Gaussian distribution damped reciprocal algorithm

Hong-Xin Cui (College of Field Engineering, Peoples Liberation Army University of Science and Technology, Nanjing, China)
Ke Feng (College of Field Engineering, Peoples Liberation Army University of Science and Technology, Nanjing, China)
Huan-Liang Li (College of Field Engineering, Peoples Liberation Army University of Science and Technology, Nanjing, China)
Jin-Hua Han (College of Field Engineering, Peoples Liberation Army University of Science and Technology, Nanjing, China)

Industrial Robot

ISSN: 0143-991x

Publication date: 15 May 2017

Abstract

Purpose

To improve the trajectory tracking accuracy of 6R decoupled manipulator in singularity region, this paper aims to propose a singularity avoidance algorithm named “singularity separation plus improved Gaussian distribution damped reciprocal”.

Design/methodology/approach

The manipulator is divided into forearm and wrist, and the corresponding singularity factors are separated based on kinematics calculation. Singularity avoidance is achieved by replacing the common reciprocal with the improved Gaussian distribution damped reciprocal.

Findings

Compared with common damped reciprocal algorithm and classical Gaussian distribution algorithm, the continuity of the proposed algorithm is improved and the tracking error is minimized. The simulation and experiment results prove effectiveness and practicability of the proposed algorithm.

Originality/value

This study has an important significance to improve the efficiency and operation accuracy of 6R decoupled manipulator.

Keywords

Citation

Cui, H.-X., Feng, K., Li, H.-L. and Han, J.-H. (2017), "Singularity avoidance of 6R decoupled manipulator using improved Gaussian distribution damped reciprocal algorithm", Industrial Robot, Vol. 44 No. 3, pp. 324-332. https://doi.org/10.1108/IR-09-2016-0243

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited