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Self-calibration of INS/Odometer integrated system via Kalman filter

机译:通过卡尔曼滤波器自校准INS / REATOMETTOR集成系统

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The alignment of inertial navigation system (INS) body axis with vehicle body frame (VBF), and calibration of odometer's scale factor are vital necessities for INS/Odometer integrated system. The application of nonholonomic constraints and odometer outputs require the INS body frame be well-aligned with VBF, any misaligned attitude angles will cause serious degradation in position drift errors and other attitude estimation. Therefore, aim for a better navigation result, calibration of INS-to-vehicle misalignment angles and odometer's scale factor should be implemented before every use. The purpose of this paper is to design an ease scenario for the estimation of these parameters. We first derive the dynamic model and measurement equations, and then use Kalman filter to estimate the concerned states. In order to keep the self-contained characteristic, only the INS and odometer outputs are employed throughout the calibration. The validity of the proposed method is tested through ground based navigation experiments.
机译:惯性导航系统(INS)体轴与车身框架(VBF)的对准,以及内径仪规模因子的校准是INS / AGETOMET集成系统的重要必需品。非网络化限制和里程表输出的应用需要INS体框架与VBF良好对齐,任何未对准的姿态角度会导致位置漂移误差和其他姿态估计的严重劣化。因此,旨在更好的导航结果,在每次使用之前都应实施Ins-valut Misalignamment角度和里程表的比例因子的校准。本文的目的是设计用于估计这些参数的简化场景。我们首先推出动态模型和测量方程,然后使用卡尔曼滤波器来估计有关状态。为了保持独立的特征,在整个校准中仅采用INS和Roorometer输出。通过基于地面的导航实验测试所提出的方法的有效性。

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