ALGORITHMIC METHODS FOR INCREASING THE ACCURACY OF GYROCOMPASS

机译：陀螺仪精度提高的算法

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The existence of an interconnection between dynamically tuned gyroscope (DTG) drifts along its two measurement channels in nonstationary thermal fields is established and the functional relationship of this inter-connection is found. The discovery of this relationship allows to use Kalman optimum filter(KOF) method for developing and fulfilment of the algorithm, aimed for increasing the corrected gyrocompass (CG) accuracy. It is established that the use of the interconnection function between DTG drifts in two channels brings the system to the complete observability, that allows to estimate and compensate algorithmically the heading error. The utilisation of a fixed structure neural net (NN) as an interconnection function is more preferable. The proposed and investigated algorithm allows compensating effectively one of the principal CG errors, caused by own drifts of DTG at varying thermal fields.

机译：建立了动态调谐陀螺仪（DTG）在非平稳热场中沿其两个测量通道的漂移之间的互连关系，并找到了这种互连关系的功能关系。这种关系的发现允许使用卡尔曼最优滤波器（KOF）方法来开发和实现该算法，旨在提高校正的陀螺罗经（CG）精度。可以确定的是，使用两个通道中的DTG漂移之间的互连功能可使系统达到完整的可观察性，从而可以估计和补偿航向误差。更优选将固定结构神经网络（NN）用作互连函数。所提出和研究的算法可以有效补偿主要的CG误差之一，该误差是由DTG在变化的热场下自身漂移引起的。

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来源
《Saint Petersburg International Conference on Integrated Navigation Systems; 20040524-26; Saint Petersburg(RU)》|2004年|P.266-268|共3页
会议地点 Saint Petersburg(RU)
作者
A.V. Zbrutsky; M. Rahmouni;
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作者单位

National Technical University of Ukraine 'Kiev Ppolytechnic Institute' 37, Peremogy Ave., 03056, Kiev -56, Ukraine;

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会议组织
原文格式 PDF
正文语种 eng
中图分类无线电导航;
关键词
corrected gyrocompass (CG); dynamically tuned gyroscope (DTG); neural network (NN); Kalman optimum filter (KOF);

机译：校正陀螺罗经（CG）;动态调谐陀螺仪（DTG）;神经网络（NN）;卡尔曼最优滤波器（KOF）;

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ALGORITHMIC METHODS FOR INCREASING THE ACCURACY OF GYROCOMPASS

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