助推和自由落体期间运载火箭载荷转移对准的概念

P. Kim, L. Glaros
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引用次数: 0

摘要

只提供摘要形式。提出了一种姿态速度匹配算法在拦截导弹导航目标捕获系统姿态保持中的应用。它通过比较高质量运载火箭惯性测量单元(IMU)计算的姿态和速度与捷联有效载荷IMU计算的姿态和速度来工作。在发射器助推、转移操纵以形成发射器轨迹和/或自由落体期间测量的剩余姿态和速度差是机械失调、拦截器初始姿态误差和IMU不确定性的直接指示,并用于卡尔曼滤波器来估计这些量。详细分析了有效载荷IMU的传递对准和仪器校准滤波器。获得了姿态/速度匹配算法的完整推导。进行了滤波器尺寸研究,并评估了次优滤波器对未建模误差状态和不正确建模的测量噪声和误差的敏感性
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Concepts for payload to launch vehicle transfer alignment during boost and freefall
Summary form only given. The authors present an application of attitude velocity match algorithms useful for attitude keeping of an interceptor navigation and target acquisition system. It operates by comparing computed attitude and velocity from a high-quality launch vehicle inertial measurement unit (IMU) with the attitude and velocity computed using a strapdown payload IMU. The residual attitude and velocity differences measured during launcher boost, divert manuevers to shape the launcher trajectory, and/or freefall are a direct indication of mechanical misalignments, interceptor initial attitude error, and IMU uncertainties, and are used in a Kalman filter to estimate those quantities. A detailed analysis of a transfer alignment and instrument calibration filter for a payload IMU has been carried out. Also obtained was a complete derivation of the attitude/velocity match algorithms. A filter sizing study was carried out, and the sensitivity of the suboptimal filter to the unmodeled error states and the incorrectly modeled measurement noise and errors are evaluated.<>
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