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1、萬方數(shù)據(jù)第27卷第6期2009年11月應用科學學報JOURNALOFAPPLIEDSCIENCES——ElectronicsandInformationEngineeringVm.27No.6NOV.2009文章編號:0255-8297(2009)06-0651—06NeuralNetwork·-BasedSlidingModeControlforSatelliteFormationFlyingGAOYou-ta01,LUYu—pin91,一,XUB021.CollegeofAutomationEngineering,Na
2、nfingUniversityo
3、AeronauticsandAstronautics.N刪tng210016,China2.Collegeo{Astronautics,N喇tngUniversityolAeronauticsandAstronautics.Nanjing210016,ChinaAbstract:Thegeneraldynamicalmodelofsatelliteformationflyingisderived.Aslidingmodecontrolmethodbasedonneuralnetworksi
4、sproposedtoimprovecontrolaccuracyandrobustnessofsatelliteformationflying.Aneuralnetworkbasedonradialbasisfunctionisdesignedtomodifytheparametersofexponentreachinglawinordertogetanoptimalbalancebetweenconvergencespeedoftheslidingquantityandfuelconsumption.Exponentr
5、eachinglawwithsaturationfunctionisusedtoweakenchatteringactuatedbyun—modeleddynamicsandhighkequencyswitchingcontr01.Thesecondorderslidingquantityoftherelativepositionerrorisusedtoimprovethecontrolaccuracy.Simulationresultsshowefrectivenessoftheneuralnetwork-baseds
6、lidingmodecontrolmethod.Keywords:satelliteformationflying,slidingmodecontrol,neuralnetwork,chattering,robustnessCLCnumber:V412.4DocumentCOde:A衛(wèi)星編隊飛行的神經(jīng)網(wǎng)絡滑??刂聘哂袧?,陸宇平1,一,徐波21.南京航空航天大學自動化學院,南京2100162.南京航空航天大學航天學院,南京210016摘要:該文推導衛(wèi)星編隊飛行的一般相對運動動力學模型,研究將指數(shù)趨近律滑??刂婆c神經(jīng)網(wǎng)絡控制
7、相結(jié)合的衛(wèi)星編隊飛行控制方法,設計一種徑向基神經(jīng)網(wǎng)絡參數(shù)調(diào)節(jié)器.實時調(diào)節(jié)指數(shù)趨近律的參數(shù),從而取得滑動面的趨近速度和燃料消耗的最優(yōu)平衡.采用指數(shù)趨近律滑模控制法,用飽和函數(shù)代替可能產(chǎn)生高頻切換信號的開關函數(shù),有效地削弱了滑??刂频亩秳樱A滑模控制結(jié)構保證了衛(wèi)星編隊的高精度控制.仿真結(jié)果表明了這一控制方法的有效性.關鍵詞:衛(wèi)星編隊飛行;滑??刂?;神經(jīng)網(wǎng)絡;抖振;魯棒性Satelliteformationflying(SFF)whichbreaksthe1imitationandextendsthescopeofapplic
8、ationsofthetraditionallargesatelliteisanactiveresearcharea.SFFhasrapidlydevelopedintotheareasofspace-basedtadar.ground—basedterrestriallasercommunicationsys.tem,earthsurveillance,remotesensing,stellarimagingandastrometry.TheCOntrolsystemofSFFisrequiredtostabilizet
9、heformationinthepresenceofdisturbanceandini.tialconditionerrors.Controlalgorithmsarealsoneces-saryforestablishingandrecordiguringformations.TheLQcontrol