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An Innovative Polar Rapid Transfer Alignment Aided by Doppler Velocity Log For Marine Vessels

机译:多普勒速度测井仪辅助的船舶创新极地快速转移对准

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Under the severe condition of polar region, the information of master strapdown inertial navigation system(MINS) is inaccurate and systematic state model becomes abnormal. Then, the traditional transfer alignment(TA) algorithm, using the information measured from MINS, is ineffective. In this paper, an innovative polar rapid transfer alignment, aided by Doppler Velocity Log and modeled under a large misalignment angle, is proposed to solve the problems. Because of the imprecise measurement information of MINS, the velocity obtained from Doppler sensor is applied as observation information, whose error is not calculated over time. Adopting "velocity +attitude" matching method and considering a large misalignment angle, nonlinear transfer alignment equations are derived with the compensation of lever-arm effect and error model of Doppler velocity log. Due to the nonlinear TA algorithm, an extended Kalman filter(EKF) is introduced to estimate the misalignment angle and then compensate it. By designed experiments, a new TA algorithm with aid of Doppler velocity log performs better than the traditional TA algorithm without any external sensors. Therefore, an innovative rapid transfer alignment algorithm introduced in this paper, accurately and effectively, improves the performance of transfer alignment in polar region.
机译:在极地恶劣的条件下,捷联惯性导航系统(MINS)的信息不准确,系统状态模型变得异常。因此,使用从MINS测得的信息的传统转移比对(TA)算法无效。本文提出了一种创新的极地快速转移对准方法,该方法借助多普勒速度测井仪进行了模拟,并以大的未对准角度为模型进行了建模,以解决这些问题。由于MINS的测量信息不准确,因此将从多普勒传感器获得的速度用作观测信息,其误差不会随时间进行计算。采用“速度+姿态”匹配方法,并考虑大的偏心角,在杠杆臂效应补偿和多普勒速度测井误差模型的基础上,推导了非线性传递对准方程。由于非线性TA算法的原因,引入了扩展的卡尔曼滤波器(EKF)来估计失准角,然后对其进行补偿。通过设计实验,借助多普勒速度测井的新TA算法比没有任何外部传感器的传统TA算法具有更好的性能。因此,本文提出的一种创新的快速转移对准算法可以准确有效地提高极地区域转移对准的性能。

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