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1、Proceedingsof2012IEEEInternationalConferenceonMechatronicsandAutomationAugust5-8,Chengdu,ChinaTuningofPIDControllerBasedonFruitFlyOptimizationAlgorithmJiuqiHanandPengWangXinYangResearchCenterofPrecisionSensingandControlStateKeyLab.ofManagement&ControlforComplexSystemsInstitute
2、ofAutomation,ChineseAcademyofSciencesInstituteofAutomation,ChineseAcademyofSciencesBeijing,100190,ChinaBeijing,100190,China{jiuqi.han&peng.wang}@ia.ac.cnxin.yang@ia.ac.cnAbstract-TheProportional-Integral-Derivative(PID)methods,theZiegler-Nichols(ZN)methodmaybethemostcontroller
3、sareoneofthemostpopularcontrollersusedinwellknowntechnique.Forawiderangeofpracticalprocesses,industrybecauseoftheirremarkableeffectiveness,simplicityofthistuningapproachworksquitewell.However,sometimesitimplementationandbroadapplicability.PIDtuningisthekeydoesnotprovidegoodtun
4、ingandtendstoproduceabigissueinthedesignofPIDcontrollersandmostofthetuningovershoot[4].ToenhancethecapabilitiesoftraditionalPIDprocessesareimplementedmanuallyresultingindifficultyandparameterstuningtechniques,severalintelligentapproachestimeconsuming.Toenhancethecapabilitiesof
5、traditionalPIDparameterstuningtechniques,modernheuristicsapproaches,havebeensuggested,suchasthosebasedonGeneticsuchasGeneticAlgorithm(GA)andParticleSwarmAlgorithm(GA),ParticleSwarmOptimization(PSO)andAntOptimization(PSO),areemployedrecentyears.Inthispaper,aColonyOptimization(A
6、CO).noveltuningmethodbasedonFruitFlyOptimizationAlgorithmFruitFlyOptimizationAlgorithm(FOA)wasproposed(FOA)isproposedtooptimizePIDcontrollerparameters.EachbyPanin2011[5],whichisastochasticsearchingalgorithmfruitfly'spositionrepresentsacandidatesolutionforPIDbasedonprinciplesof
7、naturalselection.Afterfirstlyparameters.Whenthefruitflyswarmfliestowardsonelocation,introduced,FOAhasbeenusedtosolveoptimizationanditistreatedastheevolutionofeachiterativeswarm.Aftermachine-learningproblems.Panusedittosolvethefinancialhundredsofiteration,thetuningresults-thebe
8、stPIDcontrollerdistressproblemin[5],andLinusedittodotheanalys