欢迎来到天天文库
浏览记录
ID:9973629
大小:41.00 KB
页数:8页
时间:2018-05-17
《改进型的动态矩阵控制》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、ModifieddynamicMatrixControl(DepartmentofAutomation,SouthChinaUniversityofTechnology,Guangzhou)AbstractBasedontheanalysisofDynamicMatrixControlwhichappearedinseventies,itisfoundthatthealgorithmcannotgivesatisfactoryresultsinregulationcase.Therefore,anewmodifiedalgorithmwithvariablepred
2、ictivecoefficientsispresented.Bytheoreticalanalysisandpracticalapplication,ithasbeenproventhatthemodifiedalgorithmiscorrectandadvantageous.Controlexperimentswhicharecarriedoutinaexperimentalthermalequipmentintheprocesscontrollaboratoryhaveshownthatthealgorithmisofpotentialpracticalvalu
3、e.文摘在分析七十年代出现的动态矩阵控制基础上,发现该算法在克服干扰的定值调节方面质量不高,从而提出了变预估修正系数的改进算法。并且通过理论分析和实际应用证实了这种改进的正确性和优越性。在过程控制实验室的温度装置上进行的实时控制实验,表明了这种改进算法有较大的实用价值。IntroductionTheDynamicMatrixControl(DMC)appearedintheendofsixtiesorthebeginningofseventies.Itisamulti-steppredictivealgorithmthatcombinesthediscretecon
4、volutionmodelandtheleastsquaresmethod.Inthelastdecade,DMChasattainedpracticalapplicationinAmericaandFrance,andgotsatisfatoryresults.Althoughithasgotfairlygoodresults'insomeareasofprocesscontrol,theDMCcontrolstillhasaseriousdisadvantage.TheDMCalgorithmcanattainstableandrapidresponseinse
5、rvooperationsystem,buttheresponseinregulationcaseisoftenslow.Sinceregulationoperationismostwidelyusedinchemicalandrelatedindustris,thedisadvantageasmentionedhashamperedtheDMCtobecomewidespreadinprocesscontrol.动态矩阵控制(DMC)的出现在六十年代末或七十年代初。它是一个多步骤的预测算法,结合了离散卷积模型和最小二乘法。在过去的十年中,DMC已在美国和法国得到实
6、际应用,取得了令人满意结果。已经在过程控制的相当一部分地区取得良好成绩,但DMC控制仍存在严重的缺点。在快速响应的伺服作业系统,DMC算法可以达到稳定,,但响应中规定信号的反应往往是缓慢的。自调节操作广泛应用于化工及其他相关工业领域,所以其所存在的弊端,阻碍了DMC成为普遍的过程控制。Therefore,'improvementofthecontrolqualityofDMCinregulationcaseisnecessaryinthepracticeofprocesscontrol.ImprovementofConventionalDMC,1)Developme
7、ntofthealgorithmwithpredictivecorrectivecoefficientItisshownfromthederivationofconventionalDMCalgorithm(seereferencesl,2)thatthepredictiveoutputvalues;areCorrectedbythetermInthissituation,thereexiststhefollowingrelationship:ThatmeansthatallfutureRpredictiveoutputvaluesarecorrectedwit
此文档下载收益归作者所有