改进型的动态矩阵控制

《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