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Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor

In this paper, we consider the state estimation problem for flexible joint manipulators that involve nonlinear characteristics in their stiffness. The two key ideas of our design are that (a) an accelerometer is used in order that the estimation error dynamics do not depend on nonlinearities at the...

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Autores principales: Nam, Kyung-Tae, Lee, Seung-Joon, Kuc, Tae-Yong, Kim, Hyungjong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732082/
https://www.ncbi.nlm.nih.gov/pubmed/26729125
http://dx.doi.org/10.3390/s16010049
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author Nam, Kyung-Tae
Lee, Seung-Joon
Kuc, Tae-Yong
Kim, Hyungjong
author_facet Nam, Kyung-Tae
Lee, Seung-Joon
Kuc, Tae-Yong
Kim, Hyungjong
author_sort Nam, Kyung-Tae
collection PubMed
description In this paper, we consider the state estimation problem for flexible joint manipulators that involve nonlinear characteristics in their stiffness. The two key ideas of our design are that (a) an accelerometer is used in order that the estimation error dynamics do not depend on nonlinearities at the link part of the manipulators and (b) the model of the nonlinear stiffness is indeed a Lipschitz function. Based on the measured acceleration, we propose a nonlinear observer under the Lipschitz condition of the nonlinear stiffness. In addition, in order to effectively compensate for the estimation error, the gain of the proposed observer is chosen from the ARE (algebraic Riccati equations) which depend on the Lipschitz constant. Comparative experimental results verify the effectiveness of the proposed method.
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spelling pubmed-47320822016-02-12 Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor Nam, Kyung-Tae Lee, Seung-Joon Kuc, Tae-Yong Kim, Hyungjong Sensors (Basel) Article In this paper, we consider the state estimation problem for flexible joint manipulators that involve nonlinear characteristics in their stiffness. The two key ideas of our design are that (a) an accelerometer is used in order that the estimation error dynamics do not depend on nonlinearities at the link part of the manipulators and (b) the model of the nonlinear stiffness is indeed a Lipschitz function. Based on the measured acceleration, we propose a nonlinear observer under the Lipschitz condition of the nonlinear stiffness. In addition, in order to effectively compensate for the estimation error, the gain of the proposed observer is chosen from the ARE (algebraic Riccati equations) which depend on the Lipschitz constant. Comparative experimental results verify the effectiveness of the proposed method. MDPI 2015-12-31 /pmc/articles/PMC4732082/ /pubmed/26729125 http://dx.doi.org/10.3390/s16010049 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nam, Kyung-Tae
Lee, Seung-Joon
Kuc, Tae-Yong
Kim, Hyungjong
Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title_full Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title_fullStr Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title_full_unstemmed Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title_short Position and Velocity Estimation for Two-Inertia System with Nonlinear Stiffness Based on Acceleration Sensor
title_sort position and velocity estimation for two-inertia system with nonlinear stiffness based on acceleration sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732082/
https://www.ncbi.nlm.nih.gov/pubmed/26729125
http://dx.doi.org/10.3390/s16010049
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