带悬挂式有效载荷的无人驾驶飞艇的建模和系统识别

IF 2.6 2区 工程技术 Q2 MECHANICS
Osama Obeid, Eric Lanteigne
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引用次数: 0

摘要

本文讨论了由飞艇、吊篮和悬挂式有效载荷组成的多体系统建模问题。轻于空气的飞行器会受到惯性力的作用,而重于空气的飞行器通常会忽略这些惯性力。这些惯性力通过增加质量和惯性来模拟。首先使用 Udwadia-Kalaba 方法对多体系统的动力学进行建模。推导并执行了三个约束条件。得出的运动方程用于通过系统识别程序识别飞艇的附加质量、附加惯性和惯性。所提出的系统识别方法利用带有相等和不等式约束的半定量编程来查找多体系统质量矩阵中的任何未知参数。为进行系统识别和验证动态模型,进行了三次实验。识别出的质量矩阵用于重建实验轨迹。与使用近似质量矩阵的模拟轨迹相比,使用实验获得的质量矩阵所产生的误差更小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling and system identification of uninhabited airship with a slung payload

Modelling and system identification of uninhabited airship with a slung payload

This paper discusses modelling of a multibody system consisting of airship, gondola, and a slung payload. Lighter-than-air vehicles undergo inertial forces that are often neglected in heavier-than-air vehicles. These inertial forces are modelled using added mass and added inertia. The dynamics of the multibody system were first modelled using the Udwadia–Kalaba method. Three constraints were derived and enforced. The resulting equation of motion was used to identify the added mass, added inertia, and inertia of the airship through system identification procedure. The proposed system identification method utilizes semidefinite programming with equality and inequality constraints to find any unknown parameters in the mass matrix of the multibody system. Three experiments were carried out to perform the system identification and validate the dynamic model. The identified mass matrix was used to reconstruct the trajectories of the experiments. Using the experimentally obtained mass matrix demonstrated \(35\%\) lower error when compared with simulated trajectories using approximated mass matrices.

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来源期刊
CiteScore
6.00
自引率
17.60%
发文量
46
审稿时长
12 months
期刊介绍: The journal Multibody System Dynamics treats theoretical and computational methods in rigid and flexible multibody systems, their application, and the experimental procedures used to validate the theoretical foundations. The research reported addresses computational and experimental aspects and their application to classical and emerging fields in science and technology. Both development and application aspects of multibody dynamics are relevant, in particular in the fields of control, optimization, real-time simulation, parallel computation, workspace and path planning, reliability, and durability. The journal also publishes articles covering application fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, artificial intelligence, and system identification if they involve or contribute to the field of Multibody System Dynamics.
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