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一种可用于飞行载荷测量的改进遗传算法 被引量:16

An Improved Genetic Algorithm for Flight Load Measurements
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摘要 应变电桥选择直接决定着飞行载荷测量的精度。通过消除不相关应变电桥,给出了一种适用于飞行载荷测量应变电桥选择的改进遗传算法。通过和穷尽搜索法及传统遗传算法的比较,分析了该改进遗传算法的性能,并将该算法应用于某起落架载荷测量。结果表明:该改进遗传算法可获得具有可接受精度及较小不相关性的高质量载荷方程。 The selection of strain gages is important in determining flight loads by strain gage measurement, which has large effects on the prediction of load equations. An improved genetic algorithm of selecting strain gages in the measurements of flight loads was proposed in this paper by considering the elimination of the irrelevant gages. Also, the performances of improved genetic algorithm were analyzed compared with those of exhaustive search and genetic algorithms. Further, the improved genetic algorithm was applied to select the strain gages in the load measurements of certain landing gear. The test example shows that the improved genetic algorithm in this paper could obtain the high-quality load equations with acceptable accuracy and small irrelevance.
出处 《机械科学与技术》 CSCD 北大核心 2012年第8期1265-1269,共5页 Mechanical Science and Technology for Aerospace Engineering
关键词 飞行载荷 应变电桥 遗传算法 改进遗传算法 不相关性 flight load strain gage genetic algorithm improved genetic algorithm irrelevancy
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参考文献9

  • 1Skopinski T H, Aiken W S, Huston W B. Calibration of Strain- Gage Installations in Aircraft Structures for Measurement of Flight Loads[ R]. NACA Report 1178, 1954.
  • 2Hovell P B, Webber D A, Roberts T A. The Interpretation of Strain Measurements for Flight Load Determination [ M ]. C. P. No. 839, 1966.
  • 3Guo H, Xiao G, Mrad N, et al. Fiber optic sensors for structural health monitoring of air platforms[ J]. Sensors, 2010,11:3687 - 3705.
  • 4Volanthen M, Foote P, Diamanti K K. Development of a Practi- cal Optical Fibre System for Health Monitoring Composite Structures[ R]. AIAA-2006-2116, 2006.
  • 5Lizotte A M, Lokos W A. Deflection-based aircraft structural loads estimation with comparison to flight [ A ]. 46th AIAA/ASME/ ASCE/AHS/ASC Structures, Structural Dynamics, and Ma- terials Conference[ C], Austin, TX, Apr. 2005.
  • 6Cao X, Sugiyamac Y, Mitsui Y. Application of articial neural net- works to load identication[ J]. Computers & Structures, 1998, 69:63 - 78.
  • 7Allen M J, Dibley R P. Modeling Aircraft Wing Loads from Flight Data Using Neural Networks I R ]. NASA/TM-2003- 212032, 2003.
  • 8何发东,舒成辉.贝叶斯正则化BP网络在机翼载荷分析中的应用[J].飞行力学,2009,27(4):85-88. 被引量:13
  • 9Nelson S A. SWain Gage Selection in Loads Equations Using a Genetic Algorithm[ R]. NASA Contractor Report 4597, 1994.

二级参考文献2

  • 1陈希 徐庆增 张汉良 等.贝叶斯正则化BP网络在热轧管控制中的应用.制造业自动化,2005,:471-474.
  • 2Allen Michael J, Dibley Ryan P. Modeling Aircraft Wing Loads from Fright Dada Using Neural Networks [ R ]. NASA-TM-212032,2003.

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