Optimal impedance via model predictive control for robot-aided rehabilitation

Autor(es)

dos Santos, Wilian M. ^[1] ; Siqueira, Adriano A. G. ^{[1, 2, 3]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Mech Engn, Sao Carlos Sch Engn, BR-13566590 Sao Carlos, SP - Brazil

^[2] Univ Sao Paulo, Ctr Adv Studies Rehabil, Sao Paulo, SP - Brazil

^[3] Univ Sao Paulo, Ctr Robot Sao Carlos, Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: CONTROL ENGINEERING PRACTICE; v. 93, DEC 2019.
• Citações Web of Science: 0

Resumo

This paper proposes an optimal impedance controller for robot-aided rehabilitation of walking, aiming to increase the patient's activity during the therapy. In an online procedure, the joint torques produced by the patient during the gait is estimated using the generalized momenta-based disturbance observer and the Extended Kalman filter algorithm. At the same time, a model predictive control is performed to obtain the instantaneous optimal stiffness parameters of the robot's impedance controller, trying to maximize the patient's active participation by increasing his/her joint torques. In this feasibility study, experiments with a healthy subject, considering a modular lower limb exoskeleton and a set of user's behaviors, are performed to evaluate the proposed controller. The results show the robot stiffness converges to a value which increases the user's active participation. (AU)

• Processo FAPESP: 11/10369-6 - Reabilitação robótica do caminhar: novas estratégias baseadas em características naturais
• Beneficiário: Adriano Almeida Gonçalves Siqueira
• Linha de fomento: Bolsas no Exterior - Pesquisa
• Processo FAPESP: 13/14756-0 - Impedância variável adaptativa aplicada à reabilitação robótica do caminhar
• Beneficiário: Adriano Almeida Gonçalves Siqueira
• Linha de fomento: Auxílio à Pesquisa - Regular