基于Simulink的光纤陀螺动态寻北算法建模及分析

Modeling and analysis of fiber optic gyroscope dynamic north-finding algorithm based on Simulink

  • 摘要: 针对传统光纤陀螺静态寻北方案中存在的自动化程度较低、精度不高等不足,对光纤陀螺动态寻北的原理及算法进行了深入分析,利用MATLAB软件中的Simulink仿真工具箱建立了光纤陀螺逐点最小二乘拟合动态寻北算法的仿真模型,并重点针对影响光纤陀螺动态寻北精度的平台转速和采样频率进行了仿真计算和优化分析。仿真及计算结果表明,在采用文中提出参数的情况下,当旋转平台的转速约位于4.5~8.5()/s之间,采样频率为50 Hz左右时,光纤陀螺动态寻北系统可以得到较高的寻北精度。论文所建立的模型结构及研究结论可以为光纤陀螺动态寻北系统的设计提供理论参考,同时对于光纤陀螺动态寻北技术的理论研究及具体实现也具有借鉴意义。

     

    Abstract: In view of the problems such as the low automation degree and low precision in the traditional fiber optic gyroscope(FOG) static north-finding method, the in-depth analysis of the FOG dynamic north-finding principle and algorithm was focused on. The simulation model of FOG dynamic north-finding algorithm with least square method by points was established based on Simulink toolbox in MATLAB, and then the turntable rotation speed and sampling frequency which affected obviously the FOG dynamic north-finding precision, were simulatedly calculated and optimally analyzed as the key consideration. The simulation and calculation results show that, in the case of adopting the proposed parameters, when the turntable rotation speed is 4.5-8.5()/s and the sampling frequency is about 50 Hz, the FOG dynamic north-finding system can reach higher precision. The simulation model and the research conclusions can provide theoretical reference for the design of FOG dynamic north-finding system. Meanwhile, it also provides reference for the theoretical research and concrete realization of the FOG dynamic north-finding system.

     

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