Method of state estimation and identification of the arial vehicle under destabilizing action of weather conditions

V. Kazak, D. Shevchuk, N. Tymoshenko, I. V. Prochorenko
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Abstract

Here we explain method and models for hover mode of aerial vehicle (helicopter) as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter and standard sensors.
气象条件不稳定作用下arial飞行器状态估计与辨识方法
本文介绍了飞行器(直升机)悬停模式的方法和模型,以及这种飞行模式的参数测量,这种飞行模式需要较小的计算量,并保持高的稳定速度和精度。我们还研究了通过使用扩展卡尔曼滤波和标准传感器来减少状态向量的数量和计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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