1993
DOI: 10.1109/10.237674
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Output space tracking control for above-knee prosthesis

Abstract: The control of a knee joint in an active above-knee prosthesis has been designed using the Lyapunov tracking method. A simulation of locomotion was done to prove that the tracking control in output space is a valuable real time control method for artificial legs. The data used for simulation was collected in able-bodied subjects while they walked on a powered treadmill. Human volunteers were braced with an ankle splint (limiting dorsi- and plantar flexion) and with a knee cage (limiting knee movements to the l… Show more

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Cited by 22 publications
(11 citation statements)
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“…off-line simulation of the trans-femoral prosthesis. Liapunov method in output space for control of the artificial leg was described in detail in our earlier studies [15]. The algorithms listed are not applicable for real time control, but only for biomechanical analysis and designing of prosthetic components.…”
Section: Introductionmentioning
confidence: 99%
“…off-line simulation of the trans-femoral prosthesis. Liapunov method in output space for control of the artificial leg was described in detail in our earlier studies [15]. The algorithms listed are not applicable for real time control, but only for biomechanical analysis and designing of prosthetic components.…”
Section: Introductionmentioning
confidence: 99%
“…The third requirement is that an undesirable pressure at the socket-stump interface and the gait abnormalities due to painful contact must be prevented. In addition, the AKP must contain all its parts such as actuator, energy source, controller and sensors [1].…”
Section: Design Of the Akpmentioning
confidence: 99%
“…Several studies have been performed and presented in the literature to design better prosthetic devices in the field of externally powered above knee prosthesis (AKP). The Belgrade leg and the Waseda leg are two of them [1][2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the MRAKP is a strongnonlinearity system in which a small disturbance may cause huge oscillation. So the conventional control methods with fixed parameters are bad at robustness for the MRAKPs in practice [9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%