Autonomous motorcycles for agile maneuvers, Part I: Dynamic modeling

Jingang Yi, Yizhai Zhang, Dezhen Song

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

37 Scopus citations

Abstract

Single-track vehicles, such as motorcycles, provide an agile mobile platform. Modeling and control of motorcycles for agile maneuvers, such as those by professional racing riders, are challenging due to motorcycle's unstable platform and complex tire/road interaction. As a first step attempting to understand how racing riders drive a motorcycle, this twopart paper presents a modeling and tracking control design of an autonomous motorcycle. In this first-part paper, we discuss a new dynamics model for the autonomous motorcycle. We consider the existence of lateral sliding velocity at each wheel contact point. Because of the importance of the tire/road interaction for vehicle stability and maneuverability, the dynamic modeling scheme also includes the motorcycle tire models. The new nonlinear dynamic models are used for control systems design in the companion paper.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4613-4618
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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