Energy optimal adaption and motion planning of a 3-RRS balanced manipulator

Zhongxing Yang, Dan Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This article discusses the relocation of manipulator joints and motion planning as methods to reduce energy consumption in robotic manipulators. A 3-RRS dynamically balanced parallel manipulator for manufacturing operation is designed and on which the numerical simulation is practiced for demonstration. The dynamically balanced robot contains additional balancing components and requires additional energy to drive, which makes energy problem significant. Through the optimization of adjustable joint locations in supplement to motion planning, it promotes green operations of robots in energy saving while eliminating vibration and noise problems.

Original languageEnglish
Pages (from-to)518-525
Number of pages8
JournalInternational Journal of Robotics and Automation
Volume34
Issue number5
DOIs
Publication statusPublished - 29 Aug 2019
Externally publishedYes

Keywords

  • Adaptive structure
  • Dynamic balancing
  • Energy consumption
  • Motion planning
  • Optimization
  • Parallel manipulators

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Modelling and Simulation
  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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