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Optimal design of an orthogonal generalized parallel manipulator based on swarm particle optimization algorithm

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Abstract

Study of methods to design optimal Gough–Stewart parallel manipulator geometries meeting orthogonality is of high interest. The paper will design the Orthogonal Generalized Gough-Stewart Parallel Manipulator (OGGSPM) based on the composite hyperboloids. Moreover, Particle Swarm Optimization (PSO) algorithm is introduced to perform the structure optimization as the Jacobian matrix condition number is used as the evaluation index. As an example, two different optimization cases are presented.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings
EditorsYongAn Huang, Hao Wu, Zhouping Yin, Honghai Liu
PublisherSpringer Verlag
Pages334-345
Number of pages12
ISBN (Print)9783319652917
DOIs
StatePublished - 2017
Event10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 - Wuhan, China
Duration: 16 Aug 201718 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10463 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Robotics and Applications, ICIRA 2017
Country/TerritoryChina
CityWuhan
Period16/08/1718/08/17

Keywords

  • A pair of composite hyperboloids
  • Gough-Stewart parallel manipulator
  • Optimization
  • Orthogonal design
  • PSO

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