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A Novel Initial Alignment Method for GPS/INS Integration with Large Initial Heading Error

机译:具有大初始航向误差的GPS / INS集成的新型初始对准方法

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摘要

This paper proposes a novel mechanism for the initial alignment of INS with the aiding of GPS.To use the INS error dynamics based on small attitude errors to achieve the initial alignment of INS,coarse alignment should be carried out prior to fine alignment.However,the general coarse alignment approach by using gyrocompassing theory cannot be used under some circumstances,such as, low-cost systems,and restart of moving systems due to failures.In this paper,a two-phase Kalman Filtering mechanism is proposed for the initial alignment of INS. The first phase is the coarse alignment Kalman Filtering. To solve the problems encountered by the general coarse alignment approach,an INS error dynamics accounting for large initial heading error is developed and used for the coarse alignment,and the corresponding observation equation taking into account of large heading error is also developed.The second phase is the fine alignment Kalman Filtering,where the traditional INS dynamics based on small attitude error is used.Experimental test results have indicated that the proposed alignment approach can achieve the initial alignment more quickly and more accurately comparing with the conventional approaches.
机译:本文提出了一种新型的INS初始对准方法,以GPS为辅助。要利用基于小姿态误差的INS误差动态来实现INS的初始对准,应在粗调之前先进行粗对准。在某些情况下,如低成本系统,由于故障而导致移动系统重启等,都无法使用基于陀螺罗盘理论的一般粗对准方法。本文提出了一种两阶段卡尔曼滤波机制进行初始对准。 INS。第一阶段是粗对准卡尔曼滤波。为了解决一般粗对准方法遇到的问题,开发了考虑初始航向误差较大的惯性导航误差动力学并将其用于粗对准,还开发了考虑大航向误差的相应观测方程。第二阶段实验结果表明,与传统方法相比,本文提出的对准方法可以更快,更准确地实现初始对准。

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