EMR and inversion-based control of a virtual reality bicycle trainer

Author

Leblanc, M.-A. ; Sicard, P.

Author_Institution

Groupe de Rech. en Electron. Ind., Univ. du Quebec a Trois-Rivieres, Trois-Rivières, QC, Canada

fYear

2010

fDate

1-3 Sept. 2010

Firstpage

1

Lastpage

7

Abstract

Energetic Macroscopic Representation (EMR) and inversion-based control of an electromechanical system designed for virtual reality training for cyclists and for energy management studies are presented. The goal of virtual reality cyclist training is to bring the cyclist to feel the same behavior on a stationary bicycle as he would on the road. The master components of the trainer are the load emulation system and its associated control strategy. EMR is utilized to clarify the representation of the models used for the environment, emulation, estimation, and control. Inversion based control is developed for the overall control structure, including a cyclist´s force estimator so that the system is independent of the bicycle being used.

Keywords

bicycles; computer based training; control engineering computing; force control; virtual reality; cyclist force estimator; electromechanical system control; energetic macroscopic representation; energy management studies; inversion-based control; load emulation system; stationary bicycle; virtual reality bicycle trainer; Bicycles; Emulation; Force; Load modeling; Torque; Voltage control; Wheels;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE

Conference_Location

Lille

Print_ISBN

978-1-4244-8220-7

Type

conf

DOI

10.1109/VPPC.2010.5728993

Filename

5728993