The process of ground vehicle dynamic gravimetry is inevitably affected by the carrier’s maneuvering acceleration,which makes the result contain a large amount of dynamic error.In this paper,we propose a dynamic erro...The process of ground vehicle dynamic gravimetry is inevitably affected by the carrier’s maneuvering acceleration,which makes the result contain a large amount of dynamic error.In this paper,we propose a dynamic error suppression method of gravimetry based on the high-precision acquisition of external velocity for compensating the horizontal error of the inertial plat-form.On the basis of platform gravity measurement,firstly,the dynamic performance of the system is enhanced by optimizing the horizontal damping network of the inertial platform and selecting its parameter.Secondly,an improved federal Kalman filtering algorithm and a fault diagnosis method are designed using strapdown inertial navigation system(SINS),odometer(OD),and laser Doppler velocimeter(LDV).Simulation validates that these methods can improve the accuracy and robustness of the external velocity acquisition.Three survey lines are selected in Tianjin,China,for the gravimetry experiments with different maneuvering levels,and the results demonstrate that after dynamic error suppression,the internal coincidence accuracies of smooth and uniform operation,obvious acceleration and deceleration operation,and high-dynamic operation are improved by 70.2%,73.6%,and 77.9%to reach 0.81 mGal,1.30 mGal,and 1.94 mGal,respectively,and the external coinci-dence accuracies during smooth and uniform operation are improved by 48.6%up to 1.66 mGal.It is shown that the pro-posed method can effectively suppress the dynamic error,and that the accuracy improvement increases with carrier maneuver-ability.However,the amount of residual error that can not be entirely eliminated increases as well,so the ground vehicle dynamic gravimetry should be maintained in the carrier for smooth and uniform operation.展开更多
针对传统矢量定姿方法精度较低的问题,研究了主流的星敏感器多矢量天文定姿算法,从理论上对奇异值分解(singular value decomposition,SVD)算法、双矢量定姿加研究背景算法、最小二乘(least square,LS)算法、四元数估计(quaternion esti...针对传统矢量定姿方法精度较低的问题,研究了主流的星敏感器多矢量天文定姿算法,从理论上对奇异值分解(singular value decomposition,SVD)算法、双矢量定姿加研究背景算法、最小二乘(least square,LS)算法、四元数估计(quaternion estimator,QUEST)算法和线性估计算法进行了详细推导。其中,线性估计算法先将各矢量对的坐标变换等式分散表示,推导出对应的四元数形式,再联立所有矢量的坐标变换等式,基于长方矩阵的Moore-Penrose伪逆运算对二次四元数矩阵方程线性化,再在此基础上考虑随机噪声的影响对一次四元数矩阵方程进行鲁棒性操作,具有良好的创新性与实用性。以最小化Wahba损失函数为目标,对定姿算法的性能进行对比分析。仿真和实验结果表明,线性估计算法较之于其余4种算法,具有更快的解算速度、更高的定姿精度。展开更多
基金supported by the Shanxi Provincial Natural Science Basic Research Program Young Talent Project(S2019-JC-QN-2408).
文摘The process of ground vehicle dynamic gravimetry is inevitably affected by the carrier’s maneuvering acceleration,which makes the result contain a large amount of dynamic error.In this paper,we propose a dynamic error suppression method of gravimetry based on the high-precision acquisition of external velocity for compensating the horizontal error of the inertial plat-form.On the basis of platform gravity measurement,firstly,the dynamic performance of the system is enhanced by optimizing the horizontal damping network of the inertial platform and selecting its parameter.Secondly,an improved federal Kalman filtering algorithm and a fault diagnosis method are designed using strapdown inertial navigation system(SINS),odometer(OD),and laser Doppler velocimeter(LDV).Simulation validates that these methods can improve the accuracy and robustness of the external velocity acquisition.Three survey lines are selected in Tianjin,China,for the gravimetry experiments with different maneuvering levels,and the results demonstrate that after dynamic error suppression,the internal coincidence accuracies of smooth and uniform operation,obvious acceleration and deceleration operation,and high-dynamic operation are improved by 70.2%,73.6%,and 77.9%to reach 0.81 mGal,1.30 mGal,and 1.94 mGal,respectively,and the external coinci-dence accuracies during smooth and uniform operation are improved by 48.6%up to 1.66 mGal.It is shown that the pro-posed method can effectively suppress the dynamic error,and that the accuracy improvement increases with carrier maneuver-ability.However,the amount of residual error that can not be entirely eliminated increases as well,so the ground vehicle dynamic gravimetry should be maintained in the carrier for smooth and uniform operation.
文摘针对传统矢量定姿方法精度较低的问题,研究了主流的星敏感器多矢量天文定姿算法,从理论上对奇异值分解(singular value decomposition,SVD)算法、双矢量定姿加研究背景算法、最小二乘(least square,LS)算法、四元数估计(quaternion estimator,QUEST)算法和线性估计算法进行了详细推导。其中,线性估计算法先将各矢量对的坐标变换等式分散表示,推导出对应的四元数形式,再联立所有矢量的坐标变换等式,基于长方矩阵的Moore-Penrose伪逆运算对二次四元数矩阵方程线性化,再在此基础上考虑随机噪声的影响对一次四元数矩阵方程进行鲁棒性操作,具有良好的创新性与实用性。以最小化Wahba损失函数为目标,对定姿算法的性能进行对比分析。仿真和实验结果表明,线性估计算法较之于其余4种算法,具有更快的解算速度、更高的定姿精度。
