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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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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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.
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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 |
work_keys_str_mv |
AT chuchingte multiplemodelsswitchadaptivecontrol AT zhūqīngdé multiplemodelsswitchadaptivecontrol AT chuchingte duōmóshìqièhuànzhīshìyīngkòngzhì AT zhūqīngdé duōmóshìqièhuànzhīshìyīngkòngzhì |
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1718176568825610240 |