TY - JOUR
T1 - Optimal Design of a Transfemoral Prosthesis with Energy Storage and Regeneration
AU - Rarick, Rick
AU - Richter, Hanz
AU - van den Bogert, Antonie J.
AU - Simon, Daniel J.
AU - Warner, Holly
AU - Barto, Taylor
N1 - R. Rarick, H. Richter, A. van den Bogert, D. Simon, H. Warner and T. Barto, "Optimal design of a transfemoral prosthesis with energy storage and regeneration," in 2014 American Control Conference, 2014, pp. 4108-4113.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - We describe the preliminary optimal design of an electromechanical above-knee active prosthesis with energy storage and regeneration. A DC motor-generator applies a positive or negative torque to the knee. The control system regulates the exchange of energy between the motor-generator and a supercapacitor. The central idea of the design is motivated by the mechanics, energy management, and sensor-based control that constitute human movement. We use biogeography-based optimization, which is an evolutionary algorithm, to optimize the system parameters, and we evaluate its performance with Simulink ® models. We optimize three alternative prosthesis designs. Simulation results indicate that the prosthesis can be optimized to achieve knee angle tracking with an RMS error on the order of 0.2 degrees.
AB - We describe the preliminary optimal design of an electromechanical above-knee active prosthesis with energy storage and regeneration. A DC motor-generator applies a positive or negative torque to the knee. The control system regulates the exchange of energy between the motor-generator and a supercapacitor. The central idea of the design is motivated by the mechanics, energy management, and sensor-based control that constitute human movement. We use biogeography-based optimization, which is an evolutionary algorithm, to optimize the system parameters, and we evaluate its performance with Simulink ® models. We optimize three alternative prosthesis designs. Simulation results indicate that the prosthesis can be optimized to achieve knee angle tracking with an RMS error on the order of 0.2 degrees.
KW - Biologically-inspired methods
KW - Modeling and simulation
KW - Optimization algorithms
UR - https://engagedscholarship.csuohio.edu/enece_facpub/348
UR - http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6859051abstractAccess=nouserType=inst
UR - https://engagedscholarship.csuohio.edu/enme_facpub/359
UR - https://ieeexplore.ieee.org/abstract/document/6859051
U2 - 10.1109/ACC.2014.6859051
DO - 10.1109/ACC.2014.6859051
M3 - Article
JO - American Control Conference
JF - American Control Conference
ER -