基于小波神经网络的地铁空调控制分析

基于小波神经网络的地铁空调控制分析

ID:32185089

大小:7.01 MB

页数:65页

时间:2019-02-01

基于小波神经网络的地铁空调控制分析_第1页
基于小波神经网络的地铁空调控制分析_第2页
基于小波神经网络的地铁空调控制分析_第3页
基于小波神经网络的地铁空调控制分析_第4页
基于小波神经网络的地铁空调控制分析_第5页
资源描述:

《基于小波神经网络的地铁空调控制分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、AbstractSincereformingandopeningup,withChina。seconomicdevelopmentandstrengtheningoftheurbanizationprocess,theriseofanewsubwayasafast,comthrtable.energy—efficientmodemtransporthavebeengraduallyappliedtomajorcitiesWiththerapiddevelopmentoftheMTR,energyconsumptionoftheMTRenvironmental

2、controlsystemhasbeenrisingSotoestablishavaluablesubwayventilationsystemisnecessary:notonlytoprovideagood,comfortabletravelingenvironment,butalsosaveenergyandreducethecostofsubwayoperationInthispaper,consideringtheShenyangsubwayasbackground,wecontrolpredictablythesubwayair-condition

3、ingonthebasisofnonnaloperationandunderthepremiseofmeetingthethermalcomfortofpassengersHumanthermalcomfortindex,alsoknownasthePMVvalue,isintemationallyrecognizedaSadescriptionoftheindoorthermalenvironmentindicatorsThecurrentdevelopmenttrendofintelligentairconditioningcontrolispredic

4、tingPMVvalueSincethespaceinthesubwayhaslargehysteresis,nonlinearity,hi曲inertiacharacteristics,thetraditionalcontrolmethodisdifficulttogetthebestresultsAfterreadingalargenumberofreferences.consideringtheunitoffkshairbeingintothesubwayplatformasagoalandmakingsHrethesubwayinspacetempe

5、rature,humidityandcarbondioxideconcentrationtomeetthePMVvalue,weusewaveletneuralnetworktocontroltheendofsubwayair-conditioningThemaincontentsoftNspaperasfollowing:(1)Describedthedevelopmentstatusofsubwayair-conditioningandrelativeresearch,andpointedoutthecurrentsubwayair-conditioni

6、ngcontrolresearchisstudyingitsendofthecontroldevice:controllingtheairsupplytoplatformthrou{;lltheenddeviceofthesubway.(2)Studiedpredictivecontroltheory.Basedonneuralnetworkandwaveletneuralnetwork.predictivecontrolweredescribedindotallandthetwopredictionmodelswereestablishedThewavel

7、etneuralnetworkhasabetterabilityofanon—linearfunctionapproximationandLurodthanneuralnetworks,andcanbewellappliedtothemetrospaceSincethewaveletneuralnetworkscanaccuratelydescribethenon·lineardynamicprocess,weuseittocontrolPMVvalueofthesubwayspacemodelpredicatively(3)Thispaperpresent

8、sacontrolmethodbasingonath

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。