简介:PI控制策略为一个水力的起重机吊杆系统(HCBS)的活跃抑制控制基于模糊集合点weighting列在后面被建议。控制Twovalve的PI控制器,基于列在后面的fuzzyset点weighting和一个有限半综合者(大规模集成电路)包括一个比例的前馈控制控制器,分别地被设计。大规模集成电路习惯于限制输出信号并且在光谱的低频率结束阻止。由使用一个范围照相机和电子反馈控制,在HCBS上抑制的尖端能人工地被调整。HOPSAN和MATLAB/SIMULINK的一种合作控制模拟技术被用于控制器设计。模拟结果证明建议PI控制系统让更少象更快的反应一样射。在操作期间在HCBS上抑制的尖端被改进。
简介:Frictiondragprimarilydeterminesthetotaldragoftransportsystems.ApromisingapproachtoreducedragathighReynoldsnumbers(>104)areactivetransversalsurfacewavesincombinationwithpassivemethodslikearibletsurface.Fortheapplicationintransportationsystemswithlargesurfacessuchasairplanes,shipsortrains,alargescaledistributedreal-timeactuatorandsensornetworkisrequired.Thisnetworkisresponsibleforprovidingconnectionsbetweenaglobalflowcontrolanddistributedactuatorsandsensors.ForthedevelopmentofthisnetworkweestablishedatfirstasmallscalenetworkmodelbasedonSimulinkandTrueTime.TodeterminetimescalesfornetworkeventsondifferentpackagesizeswesetupaRaspberryPibasedtestbedasaphysicalrepresentationofourfirstmodel.Thesetimescalesarereducedtotimedifferencesbetweenthedeterministicnetworkeventstoverifythebehaviorofourmodel.Experimentalresultswereimprovedbysynchronizingthetestbedwithsufficientprecision.Withthisapproachweassurealinkbetweenthelargescalemodelandthelaterconstructedmicrocontrollerbasedreal-timeactuatorandsensornetworkfordistributedactiveturbulentflowcontrol.