Modeling and optimal control formulation for manual wheelchair locomotion: The influence of mass and slope on performance
N/D
Tipo de produção
Artigo de evento
Data de publicação
2014-08-15
Texto completo (DOI)
Periódico
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Editor
Texto completo na Scopus
Citações na Scopus
8
Autores
Marko Ackermann
Fabrizio Leonardi
COSTA, H. R.
FLEURY, A. T.
Orientadores
Resumo
A framework to generate predictive simulations is proposed to investigate the influence of system's mass on manual wheelchair locomotion. The approach is based on a model of wheelchair propulsion dynamics and an optimal control formulation. In this study, predictive simulations of steady-state wheelchair locomotion are generated for different combinations of model mass and uphill slope inclination angle. The results show that the influence of system's mass is negligible in level surfaces in steady-state, a finding which agrees with experimental observations in the literature. On the other hand, the results show that the influence of mass on slopes is critical, with large increases in propulsion effort with system's mass, even for slight inclination angles. This shows the importance of reducing wheelchair mass for improving locomotion performance, particularly in overcoming obstacles and ramps. Decreasing the wheelchair's mass may not be sufficient. Therefore, and on the light of these findings, we propose the reduction of system's apparent mass through the implementation of an impedance control scheme in powerassisted wheelchairs.
Citação
ACKERMANN, M.; LEONARDI, F.; COSTA, H. R.;FLEURY, A. T. Modeling and optimal control formulation for manual wheelchair locomotion: The influence of mass and slope on performance. Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014.
Palavras-chave
Keywords
Assuntos Scopus
Impedance control; Inclination angles; Manual wheelchair; Overcoming obstacles; Power-assisted wheelchair; Predictive simulations; Slope inclination; Wheelchair propulsion