Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties

Song Lu, Yang Min Li, Bing Xiao Ding

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Multi-objective dimensional optimization of parallel kinematic manipulators (PKMs) remains a challenging and worthwhile research endeavor. This paper presents a straightforward and systematic methodology for implementing the structure optimization analysis of a 3-prismatic-universal-universal (PUU) PKM when simultaneously considering motion transmission, velocity transmission and acceleration transmission. Firstly, inspired by a planar four-bar linkage mechanism, the motion transmission index of the spatial parallel manipulator is based on transmission angle which is defined as the pressure angle amongst limbs. Then, the velocity transmission index and acceleration transmission index are derived through the corresponding kinematics model. The multi-objective dimensional optimization under specific constraints is carried out by the improved non-dominated sorting genetic algorithm (NSGA II), resulting in a set of Pareto optimal solutions. The final chosen solution shows that the manipulator with the optimized structure parameters can provide excellent motion, velocity and acceleration transmission properties.

Original languageEnglish
Pages (from-to)748-760
Number of pages13
JournalInternational Journal of Automation and Computing
Volume16
Issue number6
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Multi-objective optimization
  • non-dominated sorting genetic algorithm (NSGA II)
  • parallel kinematic manipulator
  • transmission property

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Applied Mathematics

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