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An improved square root unscented Kalman filter for projectile's attitude determination

机译:一种改进的平方根无味卡尔曼滤波器,用于确定弹丸的姿态

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In this paper, considering the performance of short-time working, inertial flight and high impulse of launch for projectile, an improved square root unscented Kalman filter (UKF) is used. According to the special motional rule of projectile, only use three low-cost MEMS accelerometers as inertial measurement unit to measure the specific force, and construct the linear state equation and nonlinear measurement equation of nonlinear system. Use the square root UKF to estimate the state of system, which effectively enhances the stability of filter and restrains the divergence of filter. Reduce the number of sigma points from 2n+1 to n+2, which improves the computational efficiency and real-time performance of filter. The experimental results in a three-axis flight test rotary table show that the improved square root UKF obtains the good precision of estimation and satisfies the request of real-time response.
机译:考虑到短时工作,惯性飞行和弹丸发射的高冲量的性能,本文采用了改进的平方根无味卡尔曼滤波器(UKF)。根据弹丸的特殊运动规律,仅使用三个低成本的MEMS加速度计作为惯性测量单元来测量比力,并构建非线性系统的线性状态方程和非线性测量方程。用平方根UKF估计系统状态,有效地提高了滤波器的稳定性并抑制了滤波器的发散。将sigma点的数量从2n + 1减少到n + 2,从而提高了滤波器的计算效率和实时性能。在三轴飞行试验转台上的实验结果表明,改进的平方根UKF具有良好的估计精度,满足了实时响应的要求。

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