Multiple Models Switch Adaptive Control

碩士 === 大同工學院 === 機械工程學系 === 84 === Because of the slow parameter adaptation of the adaptive control law, the poor transient response generally exists. The main objective of this researchis to improve the transient response of adaptive s...

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Main Authors: Chu, Ching-Te, 朱清德
Other Authors: Ming-Guo Her
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/26086046115695981538
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spelling ndltd-TW-084TTIT04890042016-02-03T04:32:08Z http://ndltd.ncl.edu.tw/handle/26086046115695981538 Multiple Models Switch Adaptive Control 多模式切換之適應控制 Chu, Ching-Te 朱清德 碩士 大同工學院 機械工程學系 84 Because of the slow parameter adaptation of the adaptive control law, the poor transient response generally exists. The main objective of this researchis to improve the transient response of adaptive system. The method for improving transient response is to make use of the multiple models, that is, estimating system parameters by using multiple models, selecting the model which estimates best according to appropriate performance index, and then usingthe controller to control the plant which corresponds to that identification model. By tis way, the transient response of adaptive system is improved. Note that the initial estimates of plant parameters are uniformly distributed in thecompact set that plant parameters exist. This research applies the "composite adaptation" concept which extracts information about parameters from all sources that contain it and uses a different adaptive law. We hope to obtain better transient response of adaptivesystem by using a different adaptation law. From the simulation results, it is known that multiple models and switch iseffective to improve the poor transient response of adaptive system and by using the composite adaptation law, we obtain better transient response. Ming-Guo Her 何明果 1996 學位論文 ; thesis 59 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 大同工學院 === 機械工程學系 === 84 === Because of the slow parameter adaptation of the adaptive control law, the poor transient response generally exists. The main objective of this researchis to improve the transient response of adaptive system. The method for improving transient response is to make use of the multiple models, that is, estimating system parameters by using multiple models, selecting the model which estimates best according to appropriate performance index, and then usingthe controller to control the plant which corresponds to that identification model. By tis way, the transient response of adaptive system is improved. Note that the initial estimates of plant parameters are uniformly distributed in thecompact set that plant parameters exist. This research applies the "composite adaptation" concept which extracts information about parameters from all sources that contain it and uses a different adaptive law. We hope to obtain better transient response of adaptivesystem by using a different adaptation law. From the simulation results, it is known that multiple models and switch iseffective to improve the poor transient response of adaptive system and by using the composite adaptation law, we obtain better transient response.
author2 Ming-Guo Her
author_facet Ming-Guo Her
Chu, Ching-Te
朱清德
author Chu, Ching-Te
朱清德
spellingShingle Chu, Ching-Te
朱清德
Multiple Models Switch Adaptive Control
author_sort Chu, Ching-Te
title Multiple Models Switch Adaptive Control
title_short Multiple Models Switch Adaptive Control
title_full Multiple Models Switch Adaptive Control
title_fullStr Multiple Models Switch Adaptive Control
title_full_unstemmed Multiple Models Switch Adaptive Control
title_sort multiple models switch adaptive control
publishDate 1996
url http://ndltd.ncl.edu.tw/handle/26086046115695981538
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AT zhūqīngdé duōmóshìqièhuànzhīshìyīngkòngzhì
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