Adaptive Gain Fuzzy-projection Disturbance Suppression Strategy for Linear Motors
Adaptiverobustcontrol(ARC)isparticularlyadvantageousindealingwithparameteruncertaintyandmodeluncertaintyinlinearmotorsystems.However,inindustrialapplications,undesirableoperatingtrajectoriesanduncertainnonlinearexternaldisturbancesoflinearmotorsystemscanadverselyaffecttheparameteradaptivepartofth...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2023-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2273 |
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| Summary: | Adaptiverobustcontrol(ARC)isparticularlyadvantageousindealingwithparameteruncertaintyandmodeluncertaintyinlinearmotorsystems.However,inindustrialapplications,undesirableoperatingtrajectoriesanduncertainnonlinearexternaldisturbancesoflinearmotorsystemscanadverselyaffecttheparameteradaptivepartoftheARC.Consequently,thisstudyintroducesanadaptivegainfuzzy-projectionstrategywithdead-zonecompensation(DAFP)basedonARC.Firstly,theDAFPimprovestheparameteradaptivelawbyestablishingafuzzy-projection.Throughadaptiveadjustmentofthegain,itminimizestheuncertainestimationerror.Moreover,ashutdownmechanismthroughdead-zonecompensationisintroducedinadaptivelaw.Thishaltsparameterestimationoncetheerrorcrossesathreshold,thuscurtailingparameterdriftfromsystemnoiseandexternaldisturbances.Lastly,thisstudydesignscomparisonexperiments,usingsimulationandlinearmotorplatform.TheresultsshowthattheDAFP-ARCcontrollerconvergestothetruevaluewithin0.1sandachievesa27.8%reductionintransienterrorrelativetoARC,whichshowstheeffectivenessoftheproposedscheme. |
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| ISSN: | 1007-2683 |