High Precision and Noise Resistance Estimation Based on Optimized GOI Algorithm for Rocket Nozzle

Xing Zhou, Ju Huo, Guiyang Zhang
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Abstract

This paper is concerned with the rocket nozzle working environment with many interference factors, upon which a high precision and noise resistance algorithm for pose estimation is proposed. The optimized generalized orthogonal iterative (GOI) algorithm is utilized for iterative solution such that it avoids the poor convergence or convergence failure problem caused by the weak perspective projection. The proposed technique only needs to observe the rocket nozzle at different orientations and the objective function based on the collinear error is established, thus the estimated parameters can be obtained subsequently. Finally, simulation and practical experiments are carried out simultaneously. By using the improved algorithm, within a space of $2\mathrm{m}\times 2\mathrm{m}\times 4\mathrm{m}$., the maximum static error of the swing angles is superior to 0.085 ° and the maximum dynamic error is less than 0.13 °. The results verify the high accuracy and noise resistance performance of the proposed approach.
基于优化GOI算法的火箭喷管高精度抗噪估计
针对多干扰因素的火箭喷管工作环境,提出了一种高精度、抗噪声的姿态估计算法。采用优化的广义正交迭代(GOI)算法进行迭代求解,避免了弱透视投影引起的收敛性差或收敛失效问题。该方法只需要在不同方向上对火箭喷管进行观测,建立基于共线误差的目标函数,即可得到估计参数。最后,仿真与实际实验同步进行。通过使用改进的算法,在$2\mathrm{m}\乘以2\mathrm{m}\乘以4\mathrm{m}$的空间内。摆动角度的最大静态误差优于0.085°,最大动态误差小于0.13°。结果表明,该方法具有较高的精度和抗噪声性能。
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