Power assisting method for almost-periodic motions based on motion prediction

Kazuyoshi Hatada, Kentaro Hirata, Takuma Sato

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.

Original languageEnglish
Pages417-422
Number of pages6
DOIs
Publication statusPublished - Jun 16 2015
Event2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
Duration: Mar 17 2015Mar 19 2015

Other

Other2015 IEEE International Conference on Industrial Technology, ICIT 2015
CountrySpain
CitySeville
Period3/17/153/19/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Power assisting method for almost-periodic motions based on motion prediction'. Together they form a unique fingerprint.

Cite this