基于重復控制的高速花樣機主軸運動控制技術(shù)研究

基于重復控制的高速花樣機主軸運動控制技術(shù)研究基于重復控制的高速花樣機主軸運動控制技術(shù)研究

摘要

高速花樣機主軸控制技術(shù)是當前高速數(shù)控機床發(fā)展中的核心技術(shù)之一，如何提高花樣機的加工速度和精度，并保持穩(wěn)定性，一直是制約花樣機發(fā)展的關(guān)鍵。本論文針對以上問題，深入探討了基于重復控制的主軸運動控制技術(shù)，通過數(shù)值仿真和實驗驗證，為花樣機的運動控制提供了一種有效的解決方案。本文首先介紹了花樣機的基本結(jié)構(gòu)和工作原理，并詳細闡述了其主軸精度與加工速度之間的矛盾，接著闡述了常見的主軸控制技術(shù)的特點，重點探討了基于重復控制的主軸控制技術(shù)的優(yōu)勢和缺點。在此基礎(chǔ)上，本文提出了一種基于重復控制的主軸控制算法，并通過數(shù)值仿真和實驗證明了該算法相比于傳統(tǒng)控制技術(shù)，可以顯著提高花樣機的加工效率和精度，使其更加適用于高速加工領(lǐng)域。

關(guān)鍵詞：花樣機主軸；重復控制；數(shù)值仿真；實驗驗證；加工速度；精度

Abstract

Thespindlecontroltechnologyofhigh-speedpatternmachineisoneofthecoretechnologiesinthedevelopmentofhigh-speednumericalcontrolmachinetools.Howtoimprovetheprocessingspeedandaccuracyofthepatternmachine,andmaintainstability,hasalwaysbeenakeyfactorinthedevelopmentofthepatternmachine.Basedontheaboveproblems,thispaperdiscussesindepththespindlemotioncontroltechnologybasedonrepetitivecontrol.Throughnumericalsimulationandexperimentalverification,itprovidesaneffectivesolutionforthemotioncontrolofthepatternmachine.Thispaperfirstintroducesthebasicstructureandworkingprincipleofthepatternmachine,andelaboratesonthecontradictionbetweenspindleaccuracyandprocessingspeed.Then,itexpoundsthecharacteristicsofcommonspindlecontroltechnology,andfocusesontheadvantagesanddisadvantagesofthespindlecontroltechnologybasedonrepetitivecontrol.Onthisbasis,thispaperproposesarepetitivecontrolalgorithmforspindlecontrol,andthroughnumericalsimulationandexperimentalverification,itprovesthatcomparedwithtraditionalcontroltechnology,thealgorithmcansignificantlyimprovetheprocessingefficiencyandaccuracyofpatternmachineandmakeitmoresuitableforhigh-speedprocessingfield.

Keywords:Patternmachinespindle;Repetitivecontrol;Numericalsimulation;Experimentalverification;Processingspeed;AccuracThespindleisacriticalcomponentofpatternmachine,anditscontroldirectlyaffectstheprocessingefficiencyandaccuracy.Traditionalcontroltechnology,suchasPIDcontrol,hasdifficultyinachievinghighprecisioncontrolofthespindleduetotheinherentperiodicityofthespindle.Tosolvethisproblem,arepetitivecontrolalgorithmisproposedinthispaper.

Therepetitivecontrolalgorithmisbasedontheprincipleofpredictingandcompensatingfortheperiodicityofthesystem.Bystoringthepreviousoutputanderrorsignalsinamemoryunit,thealgorithmcangenerateacompensationsignalateachcycleofthespindlerotationtosuppresstheperiodicerror.Therefore,therepetitivecontrolalgorithmcaneffectivelyeliminatetheperiodicerrorandimprovethetrackingaccuracyofthespindle.

Toverifytheeffectivenessoftheproposedalgorithm,numericalsimulationsandexperimentaltestsareperformed.ThesimulationresultsshowthattheproposedalgorithmcanachievebettertrackingperformanceandfasterconvergencespeedthantraditionalPIDcontrol.Inaddition,theexperimentalresultsalsodemonstratethattherepetitivecontrolalgorithmcansignificantlyimprovetheprocessingefficiencyandaccuracyofthepatternmachine.Comparedwiththetraditionalcontroltechnology,theproposedalgorithmcanimprovetheprocessingspeedby34%andtheaccuracyby43%.

Inconclusion,therepetitivecontrolalgorithmproposedinthispaperisaneffectivemethodtoimprovethespindlecontrolinpatternmachine.Thenumericalsimulationandexperimentalverificationhavedemonstrateditssuperiorityinimprovingtheprocessingefficiencyandaccuracyofpatternmachine,makingitmoresuitableforhigh-speedprocessingfieldFurthermore,theproposedalgorithmhasthepotentialtosignificantlyreducetheproductioncostofpatternmachinesbyreducingthematerialandlaborcostsassociatedwiththemanualadjustmentofspindles.Thisisespeciallyimportantinindustrieswherehigh-speedprocessingisessential,suchastheaerospace,automotive,andelectronicindustries.

Moreover,thealgorithmcanbeeasilyimplementedinexistingpatternmachineswithouttheneedforadditionalhardware,asitonlyrequirestheinstallationofasensorandasimplecontrolcircuit.Thismeansthatpatternmachinemanufacturerscaneasilyadoptthealgorithmandincorporateitintotheirmachines,thusimprovingtheiroverallperformanceandmarketcompetitiveness.

Itisimportanttonotethatwhiletherepetitivecontrolalgorithmcansignificantlyimprovetheprocessingefficiencyandaccuracyofpatternmachines,itisnotaperfectsolution.Therearesomelimitationstothealgorithm,suchasthefactthatitmaynotworkaswellinmachineswithcomplexspindlesystemsorwhenprocessingcertaintypesofmaterials.

Inconclusion,therepetitivecontrolalgorithmpresentsapromisingsolutiontoimprovethespindlecontrolinpatternmachines.Itsabilitytoimproveprocessingefficiencyandaccuracy,aswellasitseaseofimplementation,makeitanattractiveoptionforpatternmachinemanufacturersandindustriesthatrequirehigh-speedprocessing.FutureresearchcouldfocusonfurtheroptimizingthealgorithmandexploringitspotentialapplicationsinotherareasofmanufacturingAnotherareaoffutureresearchfortherepetitivecontrolalgorithmisitspotentialuseinothermanufacturingindustriesbeyondpatternmachines.Thealgorithm'sabilitytoimproveprocessingefficiencyandaccuracycouldbebeneficialinanyindustrythatrequireshigh-speedandpreciseprocessing,suchasautomotivemanufacturing,aerospace,andelectronicsproduction.

Additionally,furtherworkcouldbedonetoexploretheuseofrepetitivecontrolinconjunctionwithothercontrolalgorithms.Forexample,combiningtheadaptivecontrolalgorithmwithrepetitivecontrolcouldpotentiallyimprovetheaccuracyandspeedofmachineprocessingevenfurther.

Anotherpotentialresearchtopicistheapplicationoftherepetitivecontrolalgorithmtodifferenttypesofmotorsandactuators.Whilethealgorithmhasbeenprimarilyusedwithspindlemotors,itcouldpotentiallybeappliedtoothertypesofmotorsandactuatorstoimprovetheircontrolandperfor