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Estimating the UAV moments of inertia directly from its flight data

机译:直接从其航班数据估算惯性的无人机时刻

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摘要

This article proposes a practical new method to obtain the moment of inertia of UAV, named ARES. The ARES method simultaneously determined all the elements of UAV's Tensor of Inertia, i.e. the moments and the products of inertia through algebraic solving. The ARES method directly uses the UAV Flight Data to accommodate accuracy issues of modeling such as vehicle's geometrical imperfection; manufacturing defect, any non-symmetrical due component placement, etc. This proposed method was applicable for various purposes of UAV modeling e.g. flight control design, flight dynamics analysis, etc. Conventionally, UAV moments of inertia were estimated by tabulating, CAD-based, or pendulum method. Since these existing methods were constrained by the accuracy and practical issues, we develop the ARES method which using the UAV's flight data to resolve both issues. After undergone appropriate mathematical strategies, the ARES produce a linear construction for algebraic solving technique. The implementation the proposed method in the quadrotor flight data showing that ARES are successfully measured the asymmetrical terms which important for nonlinear controlling, that previously neglected by the conventional methods. Thus, the ARES estimates the UAV Tensor of Inertia in holistic, sophisticated and practical fashion.
机译:本文提出了一种实用的新方法,以获得无人机的惯性矩,命名为Ares。 ARES方法同时确定了UAV的惯性张量的所有元件,即通过代数求解的惯性的惯性矩和产物。 ARES方法直接使用UAV飞行数据来适应诸如车辆的几何缺陷等建模的准确性问题;制造缺陷,任何非对称的由于部件放置等。这种提出的方​​法适用于UAV建模的各种目的。飞行控制设计,飞行动力学分析等传统上,通过制表,基于CAD或摆措施来估算惯性的无人机矩。由于这些现有方法受到准确性和实际问题的约束,因此我们开发了使用UAV飞行数据来解决这两个问题的ARES方法。经过适当的数学策略后,ARE产生用于代数求解技术的线性结构。该实施中所提出的方法在四射线飞行数据中,表明ARES成功地测量了对于非线性控制重要的不对称术语,其先前被传统方法忽略了重要的。因此,ares估计全面,复杂和实用的时尚的惯性的无人机张力。

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