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1、HydromechatroniesEngineering機(jī)床與液壓DOI:10.3969/j.issn.1001—3881.2012.06.014Immune—basedOptimizationTuningModelofControllerParameterinHydraulicExcavatorSystemHUANGLichao,CHENGSenlin,QINRenchao(1.SchoolofMachineryEngineering,ChongqingIndustryPolytechnicCollege,Chongqing401
2、120,China;2.CollegeofAutomation,ChongqingUniversity,Chongqing400044,China;3.CollegeofComputerScience,SouthwestUniversityofScience&Technology,Mianyang621010,China)Abstract:Hydraulicpressuretransmissionisanervoussystemofengineeringmachinery,andavariablepumpisthecentralne
3、rvoussystemofhydraulicpressuresystem,thereforetheperformanceofthepumpwilldirectlydeterminetheperformanceandeficiencyofengineeringmachinery.SincetheswitchingmechanismofcontrolmachineryinsteppermotorcouldbettersatisfythematchtorealizetheCVTtransmissionamongthevariableflo
4、whydraulicpump,hydraulicvalveandhydraulicactuatingcylinder,anditcouldnotrealizetheoptimalpowerperformanceandtheoptimaleconomycontrolofcurrentfuel,asortofimmune—basedoptimizationtuningmethodforcontrollerparameterisproposedinthispaper.Thismethodtooktheobjectivefunctionof
5、energyconservationastheconstraints,andtheobjectiveconstraintswillbedirectlyintroducedintotheoptimizationprocessofcontrollerparameter,bymeansofimmune—basedoptimizationalgorithm,theselectedcontrollerparametercouldnotonlyensurethecontrolqualityofthesystemindynamicalandsta
6、ticperformance,butalsogiveattentiontotwoormorethingsofoptimalityinenergyconservation.Inthispaper,thecomparisonsbetweendifferentcontrolalgorithmhasbeenmadeandtheresponsecurvesofsystemshowthatthepro—posedmethodhasbettercontroleffectforthetuningparameters.Therefore,thisme
7、thodisreasonableandfeasibleinthecontrolsystemofhydraulicexcavator.Keywords:hydraulicexcavator,parameteroptimization,intelligentcontroller,immunetheory,cloneselection,muta—tion,parametertuningtheoperationprocess,itisdifficultforthetuningof1Introductioncontrollerparamete
8、rtogiveattentiontotwoormorethingssuchasenergyconservationandcontrolqualityThematchingandcontrolofreasonableparame·ofs