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捷联惯性导航系统高精度动态仿真算法 被引量:1

High Precision Dynamic Simulation Algorithm of Strapdown Inertial Navigation System
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摘要 由于飞行器动态模型航迹生成算法与惯性导航系统算法原理存在差异,无法直接仿真分析惯性传感器不同误差特性对惯性导航系统动态性能的影响。基于飞行器动态模型航迹数据,提出一种捷联惯性导航系统高精度动态仿真实现方法,设计了惯导参数动态计算误差并行补偿方案,实现了对导航系统动态仿真过程中导航参数计算误差的有效分离。在搭建的仿真平台上,有效验证了所提出仿真方法的性能,为实际惯性传感器选型和指标选择提供支撑。 There are differences between the generation algorithm of vehicle dynamic model with the algo- rithm of inertial navigation system in scheduling principle. So the different error characteristics of inertial sensors can't analysis directly the affect of the dynamic performance of the inertial navigation system. Based aircraft dynamic models track data, we proposed a high- precision dynamic simulation method of SINS, which is the inertial navigation system dynamic parameter errors of the parallel compensation scheme to achieve effective separation of the dynamic simulation of the process of the inertial navigation system navigation parameters calculation error. Finally, we build the simulation platform of the ystem, which validate the performance of the method well. So it may be choosed to provide support for the actual selection of inertial sensors and indicators.
出处 《航空计算技术》 2013年第4期117-121,共5页 Aeronautical Computing Technique
基金 国家自然科学基金项目资助(91016019) 航空科学基金项目资助(2011ZC52044) 江苏省高校青蓝工程项目资助 江苏高校优势学科建设工程项目资助 中央高校基本科研业务费专项资金项目资助
关键词 惯性导航系统 动态航迹 动态误差 补偿误差 inertial navigation dynamic track calculation error compensate
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  • 1张昌宏,王晔,丁晟春.基于XML的企业应用集成方法研究[J].舰船电子工程,2005,25(6):81-84. 被引量:4
  • 2邓子辰,鲁晓旭,魏麟欢.基于精细计算的结构瞬时最优预测控制[J].郑州大学学报(工学版),2007,28(2):97-100. 被引量:1
  • 3Deng Z L. Inertial technology. Harbin: Harbin Institute of Technology Press, 2006: 47-49.
  • 4Ma J. Research on self-calibration and alignment technology for high accuracy inertial platform. National University of Defense Technology, 2005: 1-5.
  • 5Anderson B D O. Identification of scalar errors-in-variables models with dynamics. Au$omatica, 1985, 21: 709-716.
  • 6Anderson B D O, Deistler M. Identifiability in dynamic errors-in-variables models. Journal of Time Series Analysis, 1984, 5: 1-13.
  • 7Scherrer W, Deistler M. A structure theory for linear dynamic errors-in-variables models. SIAM Journal of Control and optimization, 1998, 36: 2148-2175.
  • 8Mahata K, Garnier H. Direct identification of continuoustime errors-in-variables models. The 14^th IFAC world congress. Prague: Czech Republic, 2005: 125-136.
  • 9Markovsky I, Kukush A, Van Huffel S. On errors-invariables with unknown noise variance ratio. The IFAC Symposium on System Identification, Newcastle, Australia, 2006.
  • 10Sctlerrer W, Deistler M. A structure theory for linear dynamic errors-in-vaxiables models. SIAM Journal on Control and Optimization, 1998, 36: 2148-2175.

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  • 1赵军,赖欣欢,孔明,林敏.双频信号作用下的单稳随机共振数值研究[J].噪声与振动控制,2013,33(1):1-6. 被引量:1
  • 2Filyashkin N K,Yatskivsky V S. Prediction of inertial navigation system error dynamics in INS/GPS system[C]//Proc, of the IEEE 2rid International Conference on Actual Problems of Un manned Air Vehicles Developments, 2013, 71(10) :206 209.
  • 3张华,吴琼,张婷,等.一种改进的卡尔曼滤波算法在自稳平台中的应用[C]//第三十一届中国控制会议,2012:6617-6620.
  • 4Teruyama Y,Watanabe T. A basic study on variable-gain Kal- man filter based on angle error calculated from acceleration sig nals for lower limb angle measurement with inertial sensors[C]// Proc. of the 35th IEEE Annual International Conference on Engineering in Medicine and Biology Society, 2013:3423-3426.
  • 5Sirtkaya S,Seymen B,Alatan A A. Loosely coupled Kalman fil tering for fusion of visual odometry and inertial navigation[C]// Proc. of the 16th International Conference on Information Fu- sion,2013:219 - 226.
  • 6Zou H L,Zheng L,Long Q,at eL Detecting parameters of high frequency signals with frequency modulation stochastic reso nanee[C]//Proc, of the 6th International Congress on Image and Signal Processing ,2013 : 1090 - 1095.
  • 7Tadokoro Y, Ichiki A. A simple optimum nonlinear filter for stochastic resonance-based signal detection[C]// Proc. of the IEEE International Conference on Acoustics, Speech and Sig nal Processing, 2013 : 5760 - 5764.
  • 8孙莉.光电跟踪伺服系统中光纤陀螺滤波算法的应用[J].光学与光电技术,2012,10(6):69-71. 被引量:2
  • 9樊养余,李利品,党瑞荣.基于随机共振的任意大频率微弱信号检测方法研究[J].仪器仪表学报,2013,34(3):566-572. 被引量:51
  • 10韩东颖,丁雪娟,时培明.基于自适应变尺度频移带通随机共振降噪的EMD多频微弱信号检测[J].机械工程学报,2013,49(8):10-18. 被引量:35

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