A study on self-balancing electric motorcycles with two-wheel steering

Chuan Yang, Toshiyuki Murakami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to their good portability and flexibility, two-wheel electric motorcycles are popular in many countries nowadays. However, keeping the motorcycles balanced, which is a valuable research in an accelerating ageing society, has not been thoroughly researched. In this essay, a novel self-balancing electric motorcycle is put forward to cover this deficiency. By controlling the two-wheel steering, in this paper, the balance of the electric motorcycle can be kept with its wheels swaying. Also, three different kinds of structures of the two-wheel steering motorcycles were discussed. And a master operator is added for the drivers, even the aged drivers to drive the motorcycle at ease. Such balance can be kept when the motorcycle is parked as well. The feasibility was proved by preliminary experiments.

Original languageEnglish
Title of host publication2014 7th International Conference on Information and Automation for Sustainability
Subtitle of host publication"Sharpening the Future with Sustainable Technology", ICIAfS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479945986
DOIs
Publication statusPublished - 2014 Mar 26
Event2014 7th International Conference on Information and Automation for Sustainability, ICIAfS 2014 - Colombo, Sri Lanka
Duration: 2014 Dec 222014 Dec 24

Publication series

Name2014 7th International Conference on Information and Automation for Sustainability: "Sharpening the Future with Sustainable Technology", ICIAfS 2014

Other

Other2014 7th International Conference on Information and Automation for Sustainability, ICIAfS 2014
CountrySri Lanka
CityColombo
Period14/12/2214/12/24

Keywords

  • master operator
  • self-balancing
  • two-wheel driving
  • two-wheel steering

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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