基于弹丸底部形变重构的应变传感器最优布局

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引用格式:刘威,孙传猛,裴东兴,等.基于弹丸底部形变重构的应变传感器最优布局[J].现代电子技术,2026,49(7):127-132.
关键词:传感器优化布设;形变重构;弹底;模态叠加法;模态评价准则;应变能密度;NSGA-I中图分类号:TN709-34;TP183 文献标识码:A 文章编号:1004-373X(2026)07-0127-06
Sensor placement optimization based on projectile base deformation reconstruction
LIU Wei1², SUN Chuanmeng1,²,PEI Dongxing1,²,WANG Yu1,2 ,JINHong²,MENG Tong1,² (ial 2.Schoolof Electrical and Control Engineering,NorthUniversityofChina,TaiyuanO3oo51,China)
Abstract:In viewof thelimitation that existing parameters suchasprojectilebase strain failtocapture thefullresponseof thebase,this paper constructedatarget function bymaximumsumofstrainenergy densities,minimum ofroot mean square erors (RMSEs),andmodalassurancecriteria(MAC).IncombinationwiththeNSGA-Igeneticalgorithm,thisapproachyielded anoptimalsensorlayout.Theappoachmaximizedfieldinformationacquisitionwith minimaldatapoints.Byextracting values fromtheoptimized locationsandapplyingmodal superpostion,theapproachreconstructedbasestrainanddisplacement.By comparing thesereconstructedvalueswithsimulatedtheoretical values,theefectivenessof theNSGA-Igeneticalgorithm objectivefunctionwasvalidated.Thereconstructionaccuracyof theNSGA-Iplacement methodreached92.7%.Comparisons were made betwentheproposedappoachandtheefectiveindependence (EI) method,modal kineticenergy (MKE)method,and theEI-DPR (efectiveindependence-drivenpointresidual)placement method.ThereconstructionacuracyoftheEIplacement method was 90.6% ,that of the MKE method was 91.2%,and that of the EI-DPR placement method was approximately 90.8%. The NSGA-I method yielded more precise sensor information.
Keywords:sensor placementoptimization;deformation reconstruction;projectile base;modal superposition;MAC;strain energy density; NSGA-II
0 引言
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