基于群體智能算法的DTC系統(tǒng)參數(shù)辨識(shí)的應(yīng)用研究.pdf

1、沈陽(yáng)工業(yè)大學(xué)碩士學(xué)位論文基于群體智能算法的DTC系統(tǒng)參數(shù)辨識(shí)的應(yīng)用研究姓名：武予生申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：檢測(cè)技術(shù)與自動(dòng)化裝置指導(dǎo)教師：曹承志20070301基于群體智能算法的D1℃系統(tǒng)參數(shù)辨識(shí)的應(yīng)用研究TheExplorato巧DeVelopmentofParameterIdenti矗cationinDTCSystembaSedonColonyAptitudeArimmeticAbstractThedeVelopinstallceof

2、DTCsystemissulIlmarizedsystemicallyillmisessay，and也ebasicmeoryOfD1℃systemisin仃oducedpanicularly111isessay晰ngsfonⅣardakitIdofaptitudecon仃0lmemodbascdonNNforpar鋤eteride以ficationinDTCsystem粕dprovesi招validitythroughexperimen

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5、ieswitheXperimentation：t九lssingNNinDSPCMOSchipaIldobservingaSynchronousmachineflux】iIlkagecombjningrotatespeeda11dtorqueBasicNNcontaillSthedisadValltagesthatitsconvergentspeedandprecisionarelow，sothisessayadoptsPSOarithm

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8、xperimentalresuhprovesmefe懿ibilityof“smetllod，sotllismodelcallbetllefeedbackqualltit)rinspeedgovemingsystemofas”chronousmachineAtthes鋤etime也ismethodc姐resn嘶nthe111_lstabilizingfactorwhicharousedbystatorresistaIlceinlowspe