Adaotive impedance control of robot manipulators based on function approximation thechnique
碩士 === 國立臺灣科技大學 === 機械工程系 === 91 === This thesis presents an adaptive impedance control scheme for an n-link constrained rigid robot manipulator without using the regressor. In addition, inversion of the estimated inertia matrix is also avoided and the new design is free from end-point ac...
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ndltd-TW-091NTUST4891222016-06-20T04:16:01Z http://ndltd.ncl.edu.tw/handle/64798792048025023144 Adaotive impedance control of robot manipulators based on function approximation thechnique 以函數近似為基礎之機械臂適應阻抗控制 Chie, Ming Chih 簡銘志 碩士 國立臺灣科技大學 機械工程系 91 This thesis presents an adaptive impedance control scheme for an n-link constrained rigid robot manipulator without using the regressor. In addition, inversion of the estimated inertia matrix is also avoided and the new design is free from end-point acceleration measurements. The dynamics of the robot manipulator is assumed that all of the matrices in robot model are unavailable. Since these matrices are time-varying and their variation bounds are not given, traditional adaptive or robust designs do not apply. The function approximation technique is used here to represent uncertainties in some finite linear combinations of the orthogonal basis. The dynamics of the output tracking can thus be proved to be a stable first order filter driven by function approximation errors. Using the Lyapunov stability theory, a set of update laws is derived to give closed loop stability with proper tracking performance. A 2 DOF planar robot with environment constraint is used in the computer simulations to test the efficacy of the proposed scheme. Huang, An Chyau 黃安橋 2003 學位論文 ; thesis 45 en_US |
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碩士 === 國立臺灣科技大學 === 機械工程系 === 91 === This thesis presents an adaptive impedance control scheme for an n-link constrained rigid robot manipulator without using the regressor. In addition, inversion of the estimated inertia matrix is also avoided and the new design is free from end-point acceleration measurements. The dynamics of the robot manipulator is assumed that all of the matrices in robot model are unavailable. Since these matrices are time-varying and their variation bounds are not given, traditional adaptive or robust designs do not apply. The function approximation technique is used here to represent uncertainties in some finite linear combinations of the orthogonal basis. The dynamics of the output tracking can thus be proved to be a stable first order filter driven by function approximation errors. Using the Lyapunov stability theory, a set of update laws is derived to give closed loop stability with proper tracking performance. A 2 DOF planar robot with environment constraint is used in the computer simulations to test the efficacy of the proposed scheme.
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Huang, An Chyau |
author_facet |
Huang, An Chyau Chie, Ming Chih 簡銘志 |
author |
Chie, Ming Chih 簡銘志 |
spellingShingle |
Chie, Ming Chih 簡銘志 Adaotive impedance control of robot manipulators based on function approximation thechnique |
author_sort |
Chie, Ming Chih |
title |
Adaotive impedance control of robot manipulators based on function approximation thechnique |
title_short |
Adaotive impedance control of robot manipulators based on function approximation thechnique |
title_full |
Adaotive impedance control of robot manipulators based on function approximation thechnique |
title_fullStr |
Adaotive impedance control of robot manipulators based on function approximation thechnique |
title_full_unstemmed |
Adaotive impedance control of robot manipulators based on function approximation thechnique |
title_sort |
adaotive impedance control of robot manipulators based on function approximation thechnique |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/64798792048025023144 |
work_keys_str_mv |
AT chiemingchih adaotiveimpedancecontrolofrobotmanipulatorsbasedonfunctionapproximationthechnique AT jiǎnmíngzhì adaotiveimpedancecontrolofrobotmanipulatorsbasedonfunctionapproximationthechnique AT chiemingchih yǐhánshùjìnshìwèijīchǔzhījīxièbìshìyīngzǔkàngkòngzhì AT jiǎnmíngzhì yǐhánshùjìnshìwèijīchǔzhījīxièbìshìyīngzǔkàngkòngzhì |
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