航天器关键部件故障诊断研究

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1、＂无密级令类号ＴＰ３９１＿方知０聿＇ＬＵＮＸＩＡＮＴＥＣＨＮＯＬＯＧＩＣＡＩＶＥＲＳＩＴＹ硕士学位论文题目：航天器关键部件故障诊断研究作者：杨康指导教师：钱富才教授杨恒占副教授＾申请学位学科：控制理论与控制工程２０１８年５月１８日参数的随机系统，鉴于其故障模式具有复杂、突变等特点引入多模型理论。第五章在考虑多模型理论的前提下构造出的故障诊断器可以准确检测出姿态敏感器的故障，即使对于可叠加型故障，该诊断方法也同样有效，用贝叶斯后验概率对系统运行效果进行分析，验证了多模型故障诊断器的合理性。最后，

2、对全文进行了概括性总结，并指出有待进一步研究和完善的问题。关键词：故障诊断；混合神经网络；小波神经元；参数衰减率；多模型控制器fourthchapter,thefaultdiagnosisofthespacecraftrotorsystemisstudied.Thespacecraftrotorcanbetransformedintoastochasticsystemswithunknownparameters,inthissystem,therollingalgorithmisdesignedbasedontheKalmanfiltertheoryandLQGcon

3、trolmethod.Bycomparingtheattenuationrateoftheparameterswiththethresholdvalue,thefaultofthespacecraftrotorsystemcanbejudged.Thesimulationresultsshowthatthemethodcandetectandseparatethefaultsaccurately,andalsohasgoodfaulttoleranceperformance.(4)Thefifthchapterstudiesthefaultdiagnosisofthe

4、attitudesensor.Attitudesensorcanbesimplifiedtoastochasticsystemwithmultipleunknownparameters.Inviewofthecomplexity,mutationandothercharacteristicsofitsfaultmode,themulti-modeltheoryisintroduced.Inthefifthchapter,Basedonthetheoryofmultiplemodels,itisconcludedthatthedualcontrolmodelcanacc

5、uratelydetectthefaultofattitudesensor,Evenforsuperimposedfaults,thediagnosticmethodsinthischapterareequallyeffective.Evenforsuperimposedfaults,themethodofdiagnosisinthischapterisalsoeffective.Bayesianposterioriprobabilityisusedtoanalyzetheoperationeffectofthesystem,andtherationalityofmu

6、lti-modelfaultdiagnosticsisverified.Finally,thispapersummarizesthewholetextandfurtherpointsouttheproblemstobestudiedandperfected.KeyWords:Faultdiagnosis;hybridneuralnetwork;waveletneuron;parameterattenuationrate;multi-modelcontroller目录1绪论.................................................

7、...........................................................................................11.1课题研究的目的与意义.....................................................................................................11.2本文主要研究对象............................................................