基于pso的热定型优化与控制算法-研究

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1、现场安装调试，并在浙江亚太特宽有限公司的7{毕定型机投入运行。应用结果表明，本文提出的基于粒子群算法优化的印染定型机参数优化及控制算法实用性强，所设计的智能控制系统安全可靠，且实际运行中温度跟随性好，控制精度高，具有较高的推广价值。关键词：粒子群算法；参数优化；模糊控制；印染定型机；集散控制系统IIABSTRACTTextileprintinganddyeing，asanimportantindustryinChina，hasalargenumberofenterprisesallovertheCOUlltry,inwhichfabricheat-seaingmachineisveryimp

2、ortantandnecessaryequipment．Itsmainfunctionistodryandsetdyedhumidfabricsbyheatedwatervaporindryingroomstogetqualifiedfabrics．Heat．settingmachinehassomestrikingfeatures：bigvolume，highenergyconsumption，complicatedstructureetc．Atpresent，inmostenterprises，astheheat．settingmachineisoperatedandcontrolled

3、byman，theproductionprocesshaslowproducts’qualifiedrateandveryhighenergyconsumption．SupportedbytheNationalHighTechnologyResearchandDevelopmentProgramofChina(863Program)，thepaperconsiderheat—settingmachineasourresearchobject．Toensurethepremiseofproduction，reduceprocessenergyconsumption,andprovethewho

4、leproductionprocesswithexcellentdynamiccharacteristics，theenergyconsumptionmodel,optimizationandcontroltechnologiesarestudiedinthispaper．PracticalDCSwasdesignedandappliedintheprocessoperationandcontr01．Theresearchhaspracticalsignificanceinpromotingenterprisetechnologyprogress，savingenergyandreducin

5、gconsumption．Themainjobsaccomplishedinthispaperaresummarizedasfollows：(1)Onthebasisofresearchresultsinheat—settingmachineworldwideandpracticalproductionconditions，altertheanalysisofprocesstechnology,energyconsumptioncharacteristicsandcontrolrequirements，itsenergyconsumptionmodelbuikbyothergroupmemb

6、eristransformedintoaoptimizationproblem．Atthesametime，anmodifiedparticleswarmalgorithm(MPSO)basedonthestandardparticleswarmalgorithm(SPSO)isproposed．Then,MPSOisusedtooptimizethetransformedenergyconsumptionoptimizationproblemtoderiveitskeyparameters．Furthermore，acomparisontestsbetweenMPSOandSPSOonbe

7、nchmarkfunctionsarealsodone，whichdemonstratethattheMPSOal皆Drithmgivesabetteroptimum111solutionindealingwithmultiplelocaloptimaandmulti-dimensionalproblems．Besides，theMPSOalgorithmisalsousedtosolvetheenergyc