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Modeling and model predictive control for a bicycle-rider system

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

2 Scopus citations

Abstract

In this study, a bicycle-rider system was developed. Model predictive control (MPC) is used to control the system follows reference roll-angle. Control inputs are steering torque on the handle bar and the leaning torque of rider's upper body. The performance of the controller, the interaction between rider's motion and the bicycle dynamics are discussed via simulation results.

Original languageEnglish
Title of host publicationProceedings - 2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015
EditorsShaozi Li, Ying Dai, Yun Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages810-814
Number of pages5
ISBN (Electronic)9781467368506
DOIs
StatePublished - 9 Jun 2015
Event2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015 - Shanghai, China
Duration: 24 Apr 201526 Apr 2015

Publication series

NameProceedings - 2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015

Conference

Conference2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015
Country/TerritoryChina
CityShanghai
Period24/04/1526/04/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Bicycle dynamics
  • Model predictive control
  • Roll-angle tracking
  • System identification

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