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Position Estimation for Projectiles Using Low-Cost Sensors and Flight Dynamics

机译:使用低成本传感器和飞行动力学的弹丸位置估计

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摘要

Navigation of gun-launched precision munitions using affordable technologies is investigated. Estimation algorithms were developed to blend flight dynamic models with measurements from inertial sensors. The launch and flight characteristics of the unique, gun-launched environment were exploited both in the state estimator and for novel heuristic parameter identification. Using the heuristic parameter, the inertial navigation system was calibrated without a global positioning system (GPS), and its performance was compared with a similar calibration performed with a GPS. The experimental results from guided mortar flights indicate that the algorithm with only inertial sensor measurements yields position errors of less than 40 m over a 30-s flight. Trade studies were conducted in simulation to assess algorithm performance over a wider range of conditions such as variation in the flight dynamic model parameters. These results demonstrate that position errors are less than tens of meters for flight times of interest to munitions. Estimation is tolerant to inertial sensor errors because of the novel manner in which known flight dynamics are used to compensate measurements. Overall, this effort shows that navigation error resulting from a low-throughput algorithm using affordable inertial sensors is sufficient to increase system accuracy for munitions in GPS-denied environments.
机译:研究了使用负担得起的技术对枪支发射的精确弹药进行导航。开发了估算算法,以将飞行动力学模型与惯性传感器的测量结果融合在一起。在状态估计器和新颖的启发式参数识别中都利用了独特的枪支发射环境的发射和飞行特性。使用启发式参数,无需全球定位系统(GPS)即可对惯性导航系统进行校准,并将其性能与GPS进行的类似校准进行比较。导引的迫击炮飞行的实验结果表明,仅使用惯性传感器测量的算法在30秒的飞行中产生的位置误差小于40 m。在仿真中进行了贸易研究,以评估算法在更广泛的条件下的性能,例如飞行动态模型参数的变化。这些结果表明,弹药感兴趣的飞行时间的位置误差小于几十米。由于采用了已知的飞行动力学来补偿测量值的新颖方式,因此估算可以容忍惯性传感器误差。总的来说,这项工作表明,使用负担得起的惯性传感器的低通量算法所导致的导航误差足以提高GPS拒绝环境中弹药的系统精度。

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