On Design and Implementation of an Artificial Lower Limb

Das, Susmita; Paul, Sudipta; Ojha, Sanjeev Kumar; Neogi, Biswarup; Nazarov, A. S.; Ghosh, Joydev; Ghosh, Sudeshna

doi:10.2174/2211556007666180606075218

Cited by 3 publications

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“…The workflow of the analysis for lower limb system [40,41] stability with respect to linear and nonlinear systems is shown in Figures 4-6, respectively.…”

Section: Workflow Of the System Stability Analysismentioning

confidence: 99%

“…The workflow of the analysis for lower limb system [40,41] stability with respect to linear and nonlinear systems is shown in Figure 4, Figures 5 and 6, respectively. The polynomial equations generated from two different postures of the lower limb, such as sitting and standing, are considered as the primary conditions of the artificial system stability analysis.…”

Section: Workflow Of the System Stability Analysismentioning

confidence: 99%

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Nonlinear System Stability and Behavioral Analysis for Effective Implementation of Artificial Lower Limb

et al. 2020

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System performance and efficiency depends on the stability criteria. The lower limb prosthetic model design requires some prerequisites such as hardware design functionality and compatibility of the building block materials. Effective implementation of mathematical model simulation symmetry towards the achievement of hardware design is the focus of the present work. Different postures of lower limb have been considered in this paper to be analyzed for artificial system design of lower limb movement. The generated polynomial equations of the sitting and standing positions of the normal limb are represented with overall system transfer function. The behavioral analysis of the lower limb model shows the nonlinear nature. The Euler-Lagrange method is utilized to describe the nonlinearity in the field of forward dynamics of the artificial system. The stability factor through phase portrait analysis is checked with respect to nonlinear system characteristics of the lower limb. The asymptotic stability has been achieved utilizing the most applicable Lyapunov method for nonlinear systems. The stability checking of the proposed artificial lower extremity is the newer approach needed to take decisions on output implementation in the system design.

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“…The workflow of the analysis for lower limb system [40,41] stability with respect to linear and nonlinear systems is shown in Figures 4-6, respectively.…”

Section: Workflow Of the System Stability Analysismentioning

confidence: 99%

Section: Workflow Of the System Stability Analysismentioning

confidence: 99%