The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification

碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 97 === For static friction identification, from Hsieh and Pan[1], there is a nonlinear spring in the static friction phase. So, use the equation that is represented by Hsieh and Pan[1] to fit the nonlinear spring curve via binary method. For on-line identificat...

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Main Authors: Wei-yu Tang, 湯惟宇
Other Authors: Chen Hsieh
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/92079820712127149051
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spelling ndltd-TW-097NCKU52950292016-05-04T04:17:07Z http://ndltd.ncl.edu.tw/handle/92079820712127149051 The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification 具備線上參數鑑別和離線自動靜摩擦鑑別功能的馬達自調式控制器之研發 Wei-yu Tang 湯惟宇 碩士 國立成功大學 航空太空工程學系碩博士班 97 For static friction identification, from Hsieh and Pan[1], there is a nonlinear spring in the static friction phase. So, use the equation that is represented by Hsieh and Pan[1] to fit the nonlinear spring curve via binary method. For on-line identification, Use estimated output and actual output to get error, and use gradient search method with weighting and gradient search method without weighting to improve the motor parameters. If the motor parameters change or the intial motor parameters are wrong, we will find and use on-line identification to decrease the error between the actual parameters and the estimated parameters. With simulation and experiments, verify the above method. Chen Hsieh 謝成 2009 學位論文 ; thesis 97 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 97 === For static friction identification, from Hsieh and Pan[1], there is a nonlinear spring in the static friction phase. So, use the equation that is represented by Hsieh and Pan[1] to fit the nonlinear spring curve via binary method. For on-line identification, Use estimated output and actual output to get error, and use gradient search method with weighting and gradient search method without weighting to improve the motor parameters. If the motor parameters change or the intial motor parameters are wrong, we will find and use on-line identification to decrease the error between the actual parameters and the estimated parameters. With simulation and experiments, verify the above method.
author2 Chen Hsieh
author_facet Chen Hsieh
Wei-yu Tang
湯惟宇
author Wei-yu Tang
湯惟宇
spellingShingle Wei-yu Tang
湯惟宇
The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
author_sort Wei-yu Tang
title The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
title_short The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
title_full The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
title_fullStr The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
title_full_unstemmed The Development of a Self-Tuning Motor Controller with On-Line Parameter Identification and Automatic Off-Line Static Friction Identification
title_sort development of a self-tuning motor controller with on-line parameter identification and automatic off-line static friction identification
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/92079820712127149051
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