A three-dimensional proportional guidance law based on RBF neural network

A three-dimensional proportional guidance law based on RBF neural network

ID:40878061

大小:164.23 KB

页数:5页

时间:2019-08-09

A three-dimensional proportional guidance law based on RBF neural network_第1页
A three-dimensional proportional guidance law based on RBF neural network_第2页
A three-dimensional proportional guidance law based on RBF neural network_第3页
A three-dimensional proportional guidance law based on RBF neural network_第4页
A three-dimensional proportional guidance law based on RBF neural network_第5页
资源描述:

《A three-dimensional proportional guidance law based on RBF neural network》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、Proceedingsofthe7thWorldCongressonIntelligentControlandAutomationJune25-27,2008,Chongqing,ChinaAThree-dimensionalProportionalGuidanceLawBasedonRBFNeuralNetworkWenjinGuHongchaoZhaoRuchuanZhangNo.3DepartmentFaculty703No.3DepartmentNavalAeronauticalandAstronauticalNavalAeronauticala

2、ndAstronauticalNavalAeronauticalandAstronauticalUniversityUniversityUniversityYantai,ShandongProvince,ChinaYantai,ShandongProvince,ChinaYantai,ShandongProvince,Chinafxqyjs@sina.comnavyzhc@163.comfxqyjs@sina.comAbstract-Anewthree-dimensional(3D)pureproportionalsolutionstothedynami

3、coptimizationproblemexist.Thus,inguidancelawbasedonradialbasisfunction(RBF)neuralmostreal-lifeapplications,thefirst-orderOGL(Cottrel,1971)network(PNGLRBF)designmethodwasproposed.Theisused,resultinginareducedrobustnesstomodelandproposedmethodwasappliedtodecreasingthemissdistance,[

4、1]parameteruncertainties(Weiss&Hexner,1998).whichismostlyarisenfromthefixednavigationratesofThepureproportionalnavigationguidance(PPNG)lawstraditionalproportionalnavigationguidancelaws(TPNGLs).hasbeenwidelyrecognizedasoneofthemostefficientandFirstly,usingtheengagementgeometryform

5、ulabetweenmissileandaircraft,atypical3Daugmentproportionalguidancelawpracticalguidancelaws.Forthecaseofnon-maneuveringwaspresented.Secondly,asimpleperformanceindexaboutmissaircrafts,Becket[2]derivedaclosed-formsolutionofthedistancewascreated,andthenRBFneuralnetworksweredynamicequ

6、ationsfor2-dimensionalpursuitsituationsandemployedtotunethenavigationratesonlinetoproduceoptimalanalyzedthecaptureabilityofthePPNGlawsutilizingtheover-loadcommands.Finally,twoengagementscenariosweresolution.Forthecaseofmaneuveringaircrafts,Guelman[3]examined,andacomparisonbetween

7、TPNGLsandtheproposedusedthequalitativeanalysismethodtoanalyzethecapturePNGLRBFwasmade,thesimulationresultsshowthattheabilityofthePPNGlawsagainstaaircraftmaneuveringwithproposedtheproposed3DPNGLRBFcanachieveidealmissconstantnormalacceleration.WhilethesimpleandeasytodistancethanTPN

8、GLs.implementguidancelaws,thePN,doesnotp

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。