学科分类
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3 个结果
  • 简介:Operationaimofballmillgrindingprocessistocontrolgrindingparticlesizeandcirculationloadtoballmillintotheirobjectivelimitsrespectively,whileguaranteeingproducingsafelyandstably.Thegrindingprocessisessentiallyamulti-inputmulti-outputsystem(MIMO)withlargeinertia,strongcouplinganduncertaintycharacteristics.Furthermore,beingunabletomonitortheparticlesizeonlineinmostofconcentratorplants,itisdifficulttorealizetheoptimalcontrolbyadoptingtraditionalcontrolmethodsbasedonmathematicalmodels.Inthispaper,anintelligentoptimalcontrolmethodwithtwo-layerhierarchicalconstructionispresented.Basedonfuzzyandrule-basedreasoning(RBR)algorithms,theintelligentoptimalsettinglayergeneratestheloopssetpointsofthebasiccontrollayer,andthelattercantracktheirsetpointswithdecentralizedPIDalgorithms.Withthedistributedcontrolsystem(DCS)platform,theproposedcontrolmethodhasbeenbuiltandimplementedinaconcentrationplantinGansuprovince,China.Theindustrialapplicationindicatesthevalidationandeffectivenessoftheproposedmethod.

  • 标签: INTELLIGENT optimal CONTROL Fuzzy CONTROL RULE-BASED
  • 简介:Arecursiveidentificationmethodisproposedtoobtaincontinuous-timestate-spacemodelsinsystemswithnonuniformlysampled(NUS)data.Duetothenonuniformsamplingfeature,thetimeintervalfromonerecursionsteptothenextvariesandtheparameterisalwaysupdatedpartiallyateachstep.Furthermore,thisidentificationmethodisappliedtoformacombineddatacompressionmethodinNUSprocesses.Thedatatobecompressedarefirstclassifiedwithrespecttoaseriesofpotentiallyexisting(possiblytime-varying)models,andthenmodeledbytheNUSidentificationmethod.Themodelparametersarestoredinsteadoftheidentificationoutputdata,whichmakesthefirstcompression.Subsequently,asthesecondstep,theconventionalswingingdoortrendingmethodiscarriedoutonthedatafromthefirststep.Numericresultsfromsimulationaswellaspracticaldataaregiven,showingtheeffectivenessoftheproposedidentificationmethodandfoldincreaseofcompressionratioachievedbythecombineddatacompressionmethod.

  • 标签: 过程数据压缩 非均匀采样 递推辨识 采样系统 状态空间模型 识别方法
  • 简介:一个控制器为其在对给定的值作出回应特征的输出快速并且聪明地在焊接进程被控制的弧焊力量来源基于一个PID神经网络(PIDNN)被建议。新方法调和PID控制策略和神经网络聪明地控制焊接过程,因此它有PID控制规则和神经网络的更好的信息处理能力的特点的优点。模拟的结果证明控制器有快反应的性质,低射,快集中和好稳定的精确性,哪个会为焊接进程的控制的要求。

  • 标签: 焊接程序 输出特点 PID 网络技术