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基于Kriging的检验质量释放残余速度预测

Prediction of Residual Velocity of Inspection Mass Release Based on Kriging
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摘要 针对空间惯性传感器检验质量释放残余速度,提出一种基于Kriging代理模型的预测方法,分别采用Kriging代理模型,RBF代理模型及SVM代理模型对试验数据进行拟合,并以相关系数R为模型精度指标对三种代理模型进行评价。通过对比得出Kriging代理模型对捕获定位释放机构检验质量释放残余速度的预测精度最高。 In view of the residual velocity of inspection mass release of the spatial inertial sensor,a prediction method based on Kriging surrogate model is proposed.The Kriging surrogate model,RBF surrogate model and SVM surrogate model are respectively applied for test data fitting,and the correlation coefficient R is adopted as the indicator of model accuracy for evaluation of these 3 kinds of surrogate models.Through comparison,it is found that the Kriging surrogate model has the highest prediction accuracy for residual velocity of inspection mass release of the grabbing positioning and release mechanism.
作者 王日龙 刘博林 Wang Rilong;Liu Bolin
出处 《一重技术》 2024年第6期66-70,共5页 CFHI Technology
基金 辽宁省教育厅高校科研基金重点攻关项目(项目编号:LJKZZ20220037)。
关键词 残余速度 代理模型 KRIGING 预测精度 Residual velocity surrogate model Kriging prediction accuracy
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  • 1胡西武,廉恩慧,才仁卓玛.三江源国家公园土地利用结构与空间布局优化研究[J].青海民族研究,2022,33(2):190-199. 被引量:8
  • 2DUVIGNEAU R, VISONNEAU M. Hybrid genetic algo- rithms and neural networks for fast CFD-based design [ R]. Atlanta: AIAA 2002 - 5465, 2002.
  • 3RAJAGOPAL S, GANGULI R. Muhidisciplinary design optimization of an UAV wing using kriging based multi-ob- jective genetic algorithm[R]. AIAA 2009 -2219, 2009.
  • 4JONES D L. A taxonomy of global optimization methods based on response surfaces [ J ]. Journal of Global Opti- mization, 2001, 21 (4): 345-383.
  • 5SCHONLAU M. Computer experiments and global opti- mizationf D]. Ontario Canada: Waterloo, 1997.
  • 6KENNEDY J, EBERftART R C. Particle swarm optimi- zation [ C ]//Proceedings of IEEE International Confer- ence on Neural Networks. Washington, DC: IEEE Serv- ice Center, 1995: 1942- 1948.
  • 7CRESSIE N A C. Statistics for spatial data[ M]. New York: John Wiley & Sons, 1993.
  • 8HICKS R M, HENNE P A. Wing design by numerical optimization[ J]. Journal of Aircraft, 1978, 15 (7) : 407-413.
  • 9玄光男 程润伟.遗传算法与工程优化[M].北京:清华大学出版社,2004..
  • 10周云郊.钢铝混合材料车身结构轻量化设计关键问题与应用研究[D].广州:华南理工大学,2011.

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