基于單神經(jīng)元PID的永磁同步電動(dòng)機(jī)速度控制器設(shè)計(jì).pdf

1、分類(lèi)號(hào)：TP273密級(jí)：——單位代碼：]魚(yú)359學(xué)號(hào)：—0404042—5100143套肥戈母火警HefeiUniversityofTechnology碩士學(xué)位論文MASTERDISSERTATIoNo論文]題目：基于單神經(jīng)元PID的永磁同步電動(dòng)機(jī)速度控制器設(shè)計(jì)學(xué)位類(lèi)別：學(xué)歷碩士學(xué)科專(zhuān)業(yè)：(工程領(lǐng)域)鱉創(chuàng)堡迨生蕉魚(yú)蜓塑作者姓名：陳曼導(dǎo)師姓名：蔓鎖塞副教授完成時(shí)間：壘塑墨曼旦——PermanentMagnetSynchronousMoto

2、rDriveWithSingleNenronPIDSpeedControllerAbstractRecently，withtheadvancesinpermanentmagneticmaterials，semiconductorpowerdevicesmanufacturingtechniquesandcontroltheories，thepermanentmagnetsynchronousmotor(PMSM)driveobtaini

3、ngpopularityinmotioncontrolapplicationsPMSMsarewidelyusedinhighperformanceservoapplicationsbecauseofitscompactsize，highairgapfluxdensityandhightorque／inertiaratioBut，somemachineparameters(forexamplerotorresistance)anddra

4、gloadparameters(forexamplemomentofinertia)alwayschangewiththedifferentworkconditionsAllthecontroltheoriesbasedontheclassicalcontroltheoryandmoderncontroltheoryfacethesameproblems，inwhichtheyalldependonthemotormodel，andwh

5、enthesystemsufferedtheinfluencesofparametersvaryinganddisturbance，itsperformancewillbemuchaffectedSo，itisaninevitabletrendthatintroducesintelligentcontroltheoryintoACmotorcontrol，becauseitcangetridofthedependenceofcontro

6、lplants’modelandhasfeasibilityandrobustnessforprocessingtheuncertaintyandinexactproblemsPIDcontroliswidelyadoptedinindustrialfieldsbecauseofitssimplestructure，highreliabilityandeasilyimplementationConventionalPIDcontroll

7、erhasgoodcontroleffectiftheparametersofsystemmodelhavenotbigvariation，butwhencontrolledplanthashighnonlineartraitandhighuncertainty，PIDcontrolcan’tachievegoodresultNeuralnetwork，asoneofmoderninformationprocesstechnologie

8、s，hasvariousadvantagesinmanyapplicationsNeuralnetworkcontrolbecamearegardedresearchdirectionincontroltheorySingleneuronPIDControltheorycombinestheadvantagesofConventionalPIDcontrolwithneuralnetworkcontrolandhasthecharact

9、eristicsofsimpleconfiguration，easilyregulation，parametercanselfstudyandselfadaptInthispaperbasedonanalyzingofneuralnetwork，singleneuronPIDcontrolanditsireprovedstructureareintroducedAndbasedonthemodelingofPMSM，thesinglen

10、euronPIDspeedcontrollerwithadvancedHebbsupervisingstudyandsingleneuronspeedcontrollerbased011RBFneuralnetworkidentificationarestudiedandsimulatedbymatlabTheresultsdemonstratethatthesingleneuronPIDspeedcontrollerisimprove