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CPG Based Trajectory Generator and Online Learning of Periodic Signal

  • Beihang University

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

Abstract

This paper focuses on the topic of trajectory generation of lower limb exoskeleton by a proposed central pattern generator (CPG) algorithm. By combining oscillators, i.e. dynamical system that exhibit limit cycle behavior, a CPG model for lower limb exoskeleton is proposed. Such a model can generate kinds of trajectory and achieve their smooth transition. Moreover, in order to realize the synchronization between the user and exoskeleton, an additional module is introduced which acts as a waveform learner of arbitrary periodic signal. Numerical simulations are carried out, we demonstrate that this module is robust and has good performance in generating trajectory.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXXIII - Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research
EditorsYan Jin, Mark Price
PublisherIOS Press BV
Pages141-146
Number of pages6
ISBN (Electronic)9781643680088
DOIs
StatePublished - 19 Aug 2019
Event17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019 - Belfast, United Kingdom
Duration: 10 Sep 201912 Sep 2019

Publication series

NameAdvances in Transdisciplinary Engineering
Volume9
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019
Country/TerritoryUnited Kingdom
CityBelfast
Period10/09/1912/09/19

Keywords

  • Adaptive oscillator
  • CPG
  • Synchronization
  • Trajectory generation

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