【摘要】：為了進一步提高數字磁羅盤全姿態(tài)羅差補償精度,提出了一種基于地磁場分量的羅差自主優(yōu)化補償方法。從羅差補償模型出發(fā),分析橢球擬合補償方法的局限性,在對參數缺失和剩余誤差分析的基礎上,建立了包含缺失參數的優(yōu)化補償模型;針對非線性優(yōu)化模型引入粒子群算法PSO(Particle Swarm Optimization)對模型參數進行估計,數值仿真結果證明了算法可有效估計缺失參數。實驗結果表明,優(yōu)化補償過程無需借助外部輔助姿態(tài)信息,俯仰角-20°姿態(tài)下,優(yōu)化補償方法在橢球假設補償基礎上將其最大誤差由4.8°降至1.9°,誤差標準差由1.5°降至1.1°。
[Abstract]:In order to improve the precision of all-attitude offset compensation of digital magnetic compass, an autonomous compensation method based on geomagnetic field component is proposed. The limitation of ellipsoid fitting compensation method is analyzed based on the Luo difference compensation model. Based on the analysis of the missing parameters and residual errors, the optimal compensation model including missing parameters is established. The particle swarm optimization (PSO (Particle Swarm Optimization) algorithm is introduced to estimate the parameters of the nonlinear optimization model. The numerical simulation results show that the algorithm can effectively estimate the missing parameters. The experimental results show that the optimal compensation method reduces the maximum error from 4.8 擄to 1.9 擄and the error standard deviation from 1.5 擄to 1.1 擄on the basis of ellipsoid assumption.
【作者單位】： 南京理工大學機械工程學院;
【分類號】：TN965
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本文編號：2244474