Date of download: 10/25/2017 Copyright © ASME. All rights reserved.

Slides:



Advertisements
Similar presentations
Human Locomotion Focus on Walking Taylor Murphy HSS 537.
Advertisements

Biomechanics of Walking
Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Identifying a Minimal Rheological Configuration: A Tool for Effective and Efficient.
Date of download: 5/30/2016 Copyright © ASME. All rights reserved. From: Active Vibration Control of the Flexible Rotor in High Energy Density Magnetically.
Date of download: 6/1/2016 Copyright © ASME. All rights reserved. From: An Experimental Powered Lower Limb Prosthesis Using Proportional Myoelectric Control.
Date of download: 6/3/2016 Copyright © ASME. All rights reserved. From: Stochastic Simulations With Graphics Hardware: Characterization of Accuracy and.
Date of download: 6/6/2016 Copyright © ASME. All rights reserved. From: The Use of the Adjoint Method for Solving Typical Optimization Problems in Multibody.
Date of download: 6/7/2016 Copyright © ASME. All rights reserved. From: Mock Circulatory Loop Compliance Chamber Employing a Novel Real-Time Control Process.
Date of download: 6/21/2016 Copyright © ASME. All rights reserved. From: Design of Compliant Bamboo Poles for Carrying Loads J. Mech. Des. 2015;137(1):
Date of download: 6/22/2016 Copyright © ASME. All rights reserved. From: Computational Prediction of Muscle Moments During ARED Squat Exercise on the International.
Date of download: 7/6/2016 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech.
Date of download: 7/6/2016 Copyright © ASME. All rights reserved. From: How Changing the Inversion/Eversion Foot Angle Affects the Nondriving Intersegmental.
Date of download: 7/8/2016 Copyright © ASME. All rights reserved. From: Stabilization of a Dynamic Walking Gait Simulation J. Comput. Nonlinear Dynam.
Date of download: 7/8/2016 Copyright © ASME. All rights reserved. From: Dynamics and Balance Control of the Reaction Mass Pendulum: A Three-Dimensional.
Date of download: 9/18/2016 Copyright © ASME. All rights reserved.
Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):
Date of download: 9/19/2016 Copyright © ASME. All rights reserved. From: Dynamic Modeling of a Six Degree-of-Freedom Flight Simulator Motion Base J. Comput.
Date of download: 9/29/2017 Copyright © ASME. All rights reserved.
Date of download: 10/2/2017 Copyright © ASME. All rights reserved.
Date of download: 10/4/2017 Copyright © ASME. All rights reserved.
Date of download: 10/5/2017 Copyright © ASME. All rights reserved.
Date of download: 10/7/2017 Copyright © ASME. All rights reserved.
Date of download: 10/9/2017 Copyright © ASME. All rights reserved.
From: Nonlinear Dynamical Analysis of the “Power Ball”
Date of download: 10/11/2017 Copyright © ASME. All rights reserved.
Date of download: 10/12/2017 Copyright © ASME. All rights reserved.
Date of download: 10/12/2017 Copyright © ASME. All rights reserved.
Date of download: 10/16/2017 Copyright © ASME. All rights reserved.
Date of download: 10/17/2017 Copyright © ASME. All rights reserved.
Date of download: 10/17/2017 Copyright © ASME. All rights reserved.
Date of download: 10/18/2017 Copyright © ASME. All rights reserved.
From: Simulation of Aperiodic Bipedal Sprinting
Date of download: 10/21/2017 Copyright © ASME. All rights reserved.
Date of download: 10/22/2017 Copyright © ASME. All rights reserved.
Date of download: 10/23/2017 Copyright © ASME. All rights reserved.
Date of download: 10/23/2017 Copyright © ASME. All rights reserved.
Date of download: 10/25/2017 Copyright © ASME. All rights reserved.
Date of download: 10/25/2017 Copyright © ASME. All rights reserved.
Date of download: 10/25/2017 Copyright © ASME. All rights reserved.
Date of download: 10/29/2017 Copyright © ASME. All rights reserved.
Date of download: 10/29/2017 Copyright © ASME. All rights reserved.
Date of download: 10/29/2017 Copyright © ASME. All rights reserved.
Date of download: 10/31/2017 Copyright © ASME. All rights reserved.
Date of download: 11/2/2017 Copyright © ASME. All rights reserved.
Date of download: 11/3/2017 Copyright © ASME. All rights reserved.
Date of download: 11/4/2017 Copyright © ASME. All rights reserved.
Date of download: 11/6/2017 Copyright © ASME. All rights reserved.
From: Accuracy of Wearable Sensors for Estimating Joint Reactions
Date of download: 11/7/2017 Copyright © ASME. All rights reserved.
Date of download: 11/7/2017 Copyright © ASME. All rights reserved.
From: Robogami: A Fully Integrated Low-Profile Robotic Origami
Date of download: 11/8/2017 Copyright © ASME. All rights reserved.
Date of download: 11/8/2017 Copyright © ASME. All rights reserved.
Date of download: 11/9/2017 Copyright © ASME. All rights reserved.
Date of download: 11/10/2017 Copyright © ASME. All rights reserved.
Date of download: 11/11/2017 Copyright © ASME. All rights reserved.
Instructor: Sujood Alazzam
Date of download: 11/13/2017 Copyright © ASME. All rights reserved.
From: Nonlinear Passive Cam-Based Springs for Powered Ankle Prostheses
Date of download: 11/15/2017 Copyright © ASME. All rights reserved.
Date of download: 12/16/2017 Copyright © ASME. All rights reserved.
Date of download: 12/26/2017 Copyright © ASME. All rights reserved.
Date of download: 12/27/2017 Copyright © ASME. All rights reserved.
Date of download: 1/2/2018 Copyright © ASME. All rights reserved.
Date of download: 1/3/2018 Copyright © ASME. All rights reserved.
Date of download: 1/3/2018 Copyright © ASME. All rights reserved.
Date of download: 1/15/2018 Copyright © ASME. All rights reserved.
Date of download: 1/23/2018 Copyright © ASME. All rights reserved.
Chapter 4.
Chapter 4.
Presentation transcript:

Date of download: 10/25/2017 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech Eng. 2014;136(3):035002-035002-10. doi:10.1115/1.4026225 Figure Legend: Mechatronic design of the universal prosthesis emulator. (a) The system comprises three elements: (1) powerful off-board motor and control hardware, (2) a flexible tether transmitting mechanical power and sensor signals, and (3) a lightweight instrumented end-effector. This division of components was chosen to maximize responsiveness and minimize end-effector mass during treadmill walking. (b) Free-body diagram of the end-effector. Internal Bowden cable transmission forces pull the synthetic rope upwards while equally and oppositely pushing the aluminum frame downwards. Rope tension is transmitted through the pulley, sprocket, chain, and leaf spring, giving rise to a ground reaction force at the toe. The effect is equivalent to an ankle plantarflexion torque, resulting in a reaction force and moment at the interface with the human user. (c) Photograph of the instrumented prosthesis. A pulley–sprocket component magnifies transmission forces and allows direct measurement of spring deflection. A tensioning spring keeps the chain engaged. A limit switch protects against excessive plantarflexion. A universal adapter attaches to the socket or prosthesis simulator worn by the user. A dorsiflexion spring comprised of rubber bands retracts the toe, e.g., during leg swing. Fiberglass leaf springs provide series elasticity for ankle torque measurement and control. A separate leaf spring directly connected to the frame (not the toe) comprises the heel.

Date of download: 10/25/2017 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech Eng. 2014;136(3):035002-035002-10. doi:10.1115/1.4026225 Figure Legend: Results of benchtop tests of mechatronic performance with the experimental prosthesis emulator. (a) Torque measurement accuracy. We performed tests in which we applied known torques by suspending weights from the toe in a range of known configurations, and found RMS measurement error of 3.3 N m. (b) Closed-loop torque step response. We fixed the base and toe of the prosthesis and applied 175 N m step changes in desired torque. Across 10 trials, we measured average 90% rise times of 0.062 s. (c) Bode plot of frequency response under closed-loop torque control. We fixed the base and toe of the prosthesis and applied chirps in desired torque from 56.5 to 133 N m, then smoothed the resulting curves and averaged over 10 trials. We calculated an average −3 dB bandwidth of 17 Hz.

Date of download: 10/25/2017 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech Eng. 2014;136(3):035002-035002-10. doi:10.1115/1.4026225 Figure Legend: Impedance control law used during walking trials. Desired torque is a piecewise linear function of ankle position, with separate dorsiflexion (negative velocity) and plantarflexion (positive velocity) phases. Default curve parameters were selected to roughly match the torque–angle relationship observed for the biological ankle during normal walking. Plantarflexion segments were manipulated across conditions to alter the net positive ankle joint work over the step cycle.

Date of download: 10/25/2017 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech Eng. 2014;136(3):035002-035002-10. doi:10.1115/1.4026225 Figure Legend: Tracking of impedance control law during walking. (a) Measured torque–angle relationship as one subject with unilateral transtibial amputation walked at 1.25 ms-1 for 1 min (52 strides). Each step resulted in a similar amount of net joint work, 7.88 ± 1.28 J, visible here as work-loop area. (b) Joint torque over the stance period during 1 min of walking, normalized to % stance. Average stance duration was 0.58 ± 0.02 s. The average RMS torque error was 2.8 Nm. Note that time–trajectory error appears smaller than error in angle–torque space, while the latter is more meaningful in terms of work production or absorption.

Date of download: 10/25/2017 Copyright © ASME. All rights reserved. From: A Universal Ankle–Foot Prosthesis Emulator for Human Locomotion Experiments J Biomech Eng. 2014;136(3):035002-035002-10. doi:10.1115/1.4026225 Figure Legend: Modulating the impedance control law parameters resulted in a variety of work loops during walking, demonstrating system versatility. We measured average net work per step as one subject with unilateral transtibial amputation walked at 1.25 ms-1 for 1 min (52 strides) with plantarflexion curve parameters set to five different values (a)–(e). Top: Average net joint work produced (positive) or absorbed (negative) during each step, mean ± st. dev. Bottom: Average impedance relationship for each condition, computed as the time-averaged ankle torque by time-averaged joint angle. We measured energy absorption of −5 J in condition (a), similar to the damping effects of conventional dynamic–elastic response prostheses. In condition (c), 8 J of work was produced per step, similar to the contribution of ankle plantarflexor muscles during human walking. We measured energy production of 21 J in condition (e), which would constitute a very large input from a robotic prosthesis.