Title :
Stability analysis of human rider´s balance control of stationary bicycles
Author :
Soudbakhsh, Damoon ; Yang Zhang ; Jingang Yi
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
Understanding human/bicycle interactions is crucial not only for enhancing bicycle (motorcycle) safety but also for designing new bicycle-based rehabilitation devices. In this paper, we present stability analysis of a human neurological control of stationary bicycles. The stability results are obtained through using the sweeping frequency method and the stability charts for time-delay dynamical systems. The results show that through only human rider´s upper body movement, it is impossible to stabilize the stationary bicycle; however, with additional bicycle steering control, the riders can balance the bicycle under three delays in the neurological system. We present and illustrate these stability conditions for the systems with a set of model parameters of typical healthy riders.
Keywords :
bicycles; delays; mechanoception; medical control systems; patient rehabilitation; stability; bicycle safety; bicycle steering control; bicycle-based rehabilitation devices; healthy riders; human neurological control; human rider balance control; human rider upper body movement; human-bicycle interactions; neurological system; stability analysis; stability charts; stationary bicycles; sweeping frequency method; time-delay dynamical systems; Bicycles; Delay; Delay effects; Equations; Humans; Mathematical model; Stability analysis;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315425