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Robot path control with rational-order calculus

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper an application of the fractional calculus to path control is studied. The integer-order derivative and integral are replaced with the fractional-order ones in order to solve the inverse kinematics problem. The proposed algorithm is a modification of the existing one. In order to maintain the accuracy and to lower the memory requirements a history limit and a combination of fractional and rational derivation are proposed. After reaching assumed accuracy or iteration limit the algorithm switches to integer order derivative and stops after few additional iterations. This approach allows to reduce the positional error and maintain the repeatability of fractional calculus approach. The simulated path in task space have been designed in a way that causes the instability of standard Closed Loop Pseudoinverse algorithm. Our study proves that use of fractional calculus may improve the joint paths.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 9th International Conference, ICIRA 2016, Proceedings
EditorsHonghai Liu, Naoyuki Kubota, Takenori Obo, Kazuo Kiguchi
PublisherSpringer Verlag
Pages384-395
Number of pages12
ISBN (Print)9783319435053
DOIs
Publication statusPublished - 2016
Event9th International Conference on Intelligent Robotics and Applications, ICIRA 2016 - Tokyo, Japan
Duration: 22 Aug 201624 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9834 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Intelligent Robotics and Applications, ICIRA 2016
Country/TerritoryJapan
CityTokyo
Period22/08/1624/08/16

Keywords

  • Fractional calculus
  • Inverse kinematics
  • Manipulator
  • Motion planning
  • Path planning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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