修正带有欧拉角广义坐标的欧拉-拉格朗日多旋翼模型

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Robotic Systems Pub Date : 2024-01-24 DOI:10.1007/s10846-023-02040-9
Simone Martini, Kimon P. Valavanis, Margareta Stefanovic, Matthew J. Rutherford, Alessandro Rizzo
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引用次数: 0

摘要

本技术说明通过分析证明了牛顿-欧拉(Newton-Euler)和欧拉-拉格朗日(Euler-Lagrange)建模公式应用于多旋翼无人机时如何实现精确等效。这是通过推导正确的欧拉-拉格朗日多旋翼飞行器姿态动力学模型来实现的。对已发表文献的回顾表明,通常采用的欧拉-拉格朗日多旋翼动力学模型仅在位置动力学方面等同于牛顿-欧拉模型,而在姿态动力学方面则不然。本文通过逐步推导和计算,展示了如何证明模型等效于牛顿-欧拉公式。然后通过数值模拟研究获得相同的结果来验证建模等效性。仿真结果还表明,当使用正确的模型进行反馈线性化时,控制器在高增益下的稳定性会得到改善。
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Correction to the Euler Lagrange Multirotor Model with Euler Angles Generalized Coordinates

This technical note proves analytically how the exact equivalence of the Newton-Euler and Euler-Lagrange modeling formulations as applied to multirotor UAVs is achieved. This is done by deriving a correct Euler-Lagrange multirotor attitude dynamics model. A review of the published literature reveals that the commonly adopted Euler-Lagrange multirotor dynamics model is equivalent to the Newton-Euler model only when it comes to the position dynamics, but not in the attitude dynamics. Step-by-step derivations and calculations are provided to show how modeling equivalence to the Newton-Euler formulation is proven. The modeling equivalence is then verified by obtaining identical results in numerical simulation studies. Simulation results also illustrate that when using the correct model for feedback linearization, controller stability at high gains is improved.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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