TY - GEN
T1 - A backstepping control design for an active ankle-foot orthosis
AU - Savas, Yagiz
AU - Kirtas, Oguzhan
AU - Basturk, Halil
AU - Samur, Evren
N1 - Funding Information:
∗Corresponding author e-mail: [email protected] Y. Savas, O. Kirtas, H. Basturk and E. Samur are with the Dept. of Mechanical Eng., Bogazici University, Turkey. E-mail: {yagiz.savas, oguzhan.kirtas, halil.basturk, evren.samur}@boun.edu.tr. This work is supported by the Bogazici University Research Fund under project number 9781.
Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/1/18
Y1 - 2018/1/18
N2 - Active ankle-foot orthoses are used to assist patients suffering from stroke, cerebral palsy etc. through providing them an external force supply to track normal gait cycles. In this paper, we propose a novel backstepping control design for active ankle-foot orthoses to track desired gait trajectories and to reduce the effects of unknown disturbances such as ground reaction force and weight of the foot. The actual system is modeled as two-degree-of-freedom mass-spring system. Disturbances are modeled as a finite sum of sinusoidal signals with unknown amplitudes, frequencies and phases, and an unknown constant. An adaptive backstepping control law is designed for force input to the system. It is proved that the equilibrium of the closed loop system is stable, and vertical position of the patient's heel tracks the desired trajectory. Finally, simulations are performed to show superiority of the proposed control design over a PID control.
AB - Active ankle-foot orthoses are used to assist patients suffering from stroke, cerebral palsy etc. through providing them an external force supply to track normal gait cycles. In this paper, we propose a novel backstepping control design for active ankle-foot orthoses to track desired gait trajectories and to reduce the effects of unknown disturbances such as ground reaction force and weight of the foot. The actual system is modeled as two-degree-of-freedom mass-spring system. Disturbances are modeled as a finite sum of sinusoidal signals with unknown amplitudes, frequencies and phases, and an unknown constant. An adaptive backstepping control law is designed for force input to the system. It is proved that the equilibrium of the closed loop system is stable, and vertical position of the patient's heel tracks the desired trajectory. Finally, simulations are performed to show superiority of the proposed control design over a PID control.
UR - http://www.scopus.com/inward/record.url?scp=85046156864&partnerID=8YFLogxK
U2 - 10.1109/CDC.2017.8263676
DO - 10.1109/CDC.2017.8263676
M3 - Article in proceeding
AN - SCOPUS:85046156864
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 262
EP - 267
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - IEEE Signal Processing Society
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -