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论文:2013,Vol:31,Issue(3):397-400 |
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姜洪开, 何毅娜, 夏勇. 基于改进粒子滤波的飞机起落架损伤识别研究[J]. 西北工业大学 |
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Jiang Hongkai, He Yina, Xia Yong. Improving Damage Identification of Aircraft Landing Gear with Imrproved Particle Filter[J]. Northwestern polytechnical university |
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| 基于改进粒子滤波的飞机起落架损伤识别研究 |
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| 姜洪开, 何毅娜, 夏勇 |
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| 西北工业大学, 航空学院, 陕西 西安 710072 |
| 摘要: |
| 针对飞机起落架损伤识别问题,提出了一种识别起落架损伤的改进粒子滤波方法。首先,建立了飞机起落架动力学模型,分析起落架损伤的危险点,得到其应力响应信号;然后,采用核平滑技术和快速高斯采样法,实现非线性系统中状态与参数估计,解决了粒子滤波重采样过程中的参数粒子枯竭现象,增加了该方法运行的实时性。实验信号分析结果表明,改进粒子滤波方法能准确识别飞机起落架危险点损伤,识别精度优于传统粒子滤波方法。 |
| 关键词:
飞机起落架
改进粒子滤波
核平滑技术
快速高斯采样法
损伤识别
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| Improving Damage Identification of Aircraft Landing Gear with Imrproved Particle Filter |
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| Jiang Hongkai, He Yina, Xia Yong |
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| College of Aeronautics,Northwestern Polytechnical University,Xi'an 71072,China |
| Abstract: |
| An improved particle filter method is proposed for improving damage identification of the aircraft landing gear.First, we establish landing gear model and analyze its dangerous point to obtain the stress signal.Then, ker-nel smoothing technology and fast Gaussian sampling method are used to estimate the states and parameters of non-linear system.This method can accurately identify the landing gear damage.The experimental results and their a-nalysis confirm preliminarily that the proposed method outperforms the traditional method. |
| Key words:
damage detection
flowcharting
landing gear (aircraft)
mathematical models
nonlinear systems
parameter estimation
state estimation
fast Gaussian sampling method
improved particle filter
kernel smoothing
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| 收稿日期: 2012-06-18
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(50975231)资助 |
| 通讯作者:
Email： |
| 作者简介: 姜洪开(1972-),西北工业大学副教授、博士,主要从事飞行器健康监控研究。
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| 作者相关文章 |
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| 姜洪开 在本刊中的所有文章 |
| 何毅娜 在本刊中的所有文章 |
| 夏勇 在本刊中的所有文章 |
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参考文献: |
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[1] 李学平, 余志武.基于动力特性的结构损伤识别方法.动力学与控制学报, 2006, 4(1): 84-87 Li Xueping, Yu Zhiwu.Structural Damage Identification Method Based on Dynamic Properties.Journal of Dynamics and Control, 2006, 4(1): 84-87 (in Chinese)
[2] Li P, Goodall R, Kadirkamanathan V.Estimation of Parameters in A Linear State Space Model Using A Rao-Blackwellised Particle Filter.IEE Proceedings —Control Theory and Applications, 2004, 151 (6): 727-738
[3] Liu J, West M.Combined Parameter and State Estimation in Simulation-Based Filtering.Springer-Verlag, New York, 2001
[4] 张 磊, 李行善, 于劲松等.基于混合系统粒子滤波和二元估计的故障预测算法.航空学报, 2009, 34(7): 798-802 Zhang Lei, Li Xingshan, Yu Jinsong, et al.Fault Prognostic Algorithm Based on Dual Estimation and Particle Filter.Acta Aeronautica et Astronautics Sinica, 2009, 34(7): 798-802 (in Chinese)
[5] 魏桂生.某型飞机主起落架斜撑作动筒耳座的超声检测.无损检测, 2006, 28(12): 668-669 Wei Guisheng.Ultrasonic Inspection of The Flange of Inclined Supported Activator Cylinder of Main Landing Gear of Some Type Aeroplane.Nondestructive Testing, 2006, 28(12): 668-669 (in Chinese)
[6] Wang Wanping, Liao Sheng.Particle Filter for State and Parameter Estimation in Passive Ranging.IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009, 257-261
[7] 王忠勇, 冯卫娜.一种基于粒子滤波的非线性系统参数和状态联合估计方法.郑州大学学报, 2010, 31 (2): 92-96 Wang Zhongyong, Feng Weina.Combined Estimation Method of Parameter and State for Nonlinear Systems Based on Particle Filter.Journal of Zhengzhou University, 2010, 31 (2): 92-96 (in Chinese)
[8] Kano Junichi, Osamu Tonomura.State and Parameter Estimation for Tubular Microreactors Using Particle Filter.Fukuoka International Congress Center, 2009, 8: 18-21
[9] 陈 鹏, 钱 徽等.一种快速高斯粒子滤波算法.华中科技大学学报, 2008, 10(36): 291-294 Chen Peng, Qian Hui, et al.A Fast Gaussian Particle Filtering Algorithm.Journal of Huazhong University of Science and Technology, 2008, 10(36): 291-294 (in Chinese) |
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