Literature DB >> 11036570

Bicycle drive system dynamics: theory and experimental validation.

B J Fregly1, F E Zajac, C A Dairaghi.   

Abstract

Bicycle pedaling has been studied from both a motor control and an equipment setup and design perspective. In both cases, although the dynamics of the bicycle drive system may have an influence on the results, a thorough understanding of the dynamics has not been developed. This study pursued three objectives related to developing such an understanding. The first was to identify the limitations of the inertial/frictional drive system model commonly used in the literature. The second was to investigate the advantages of an inertial/frictional/compliant model. The final objective was to use these models to develop a methodology for configuring a laboratory ergometer to emulate the drive system dynamics of road riding. Experimental data collected from the resulting road-riding emulator and from a standard ergometer confirmed that the inertial/frictional model is adequate for most studies of road-riding mechanics or pedaling coordination. However, the compliant model was needed to reproduce the phase shift in crank angle variations observed experimentally when emulating the high inertia of road riding. This finding may be significant for equipment setup and design studies where crank kinematic variations are important or for motor control studies where fine control issues are of interest.

Mesh:

Year:  2000        PMID: 11036570     DOI: 10.1115/1.1286678

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  5 in total

1.  Pedalling rate affects endurance performance during high-intensity cycling.

Authors:  Jens Steen Nielsen; Ernst Albin Hansen; Gisela Sjøgaard
Journal:  Eur J Appl Physiol       Date:  2004-03-13       Impact factor: 3.078

2.  Muscular activity level during pedalling is not affected by crank inertial load.

Authors:  S Duc; V Villerius; W Bertucci; J N Pernin; F Grappe
Journal:  Eur J Appl Physiol       Date:  2005-07-20       Impact factor: 3.078

3.  Age-related differences in adaptation during childhood: the influences of muscular power production and segmental energy flow caused by muscles.

Authors:  Thomas Korff; Jody L Jensen
Journal:  Exp Brain Res       Date:  2007-03       Impact factor: 1.972

4.  Effects of low and high cadence interval training on power output in flat and uphill cycling time-trials.

Authors:  Alfred Nimmerichter; Roger Eston; Norbert Bachl; Craig Williams
Journal:  Eur J Appl Physiol       Date:  2011-04-11       Impact factor: 3.078

5.  A direct collocation framework for optimal control simulation of pedaling using OpenSim.

Authors:  Sangsoo Park; Graham E Caldwell; Brian R Umberger
Journal:  PLoS One       Date:  2022-02-22       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.