基于分数阶的非线性机械系统FELEs建模:倒立摆系统振荡和非振荡行为的数值分析

IF 2.5 3区 工程技术 Q2 MECHANICS
Esra Demir, Ibrahim Ozkol
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引用次数: 0

摘要

本文用不同的分数阶导数类型和阶数研究了倒立摆这个明显的非线性系统在分数维上的行为。倒立摆是一个二自由度系统,由于小车在水平面上的运动而表现出线性行为,由于摆的角运动而表现出振荡行为。首先,利用经典欧拉-拉格朗日方程(CELE)推导了系统的运动方程,从而得到了经典的整阶模型。随后,利用分数阶欧拉-拉格朗日方程(FELE)与Riemann-Liouville和Caputo-Fabrizio分数阶导数建立了分数阶模型。在仿真平台上给出了模型的计算结果,并进行了比较。本文分析了分数阶建模对机械系统振荡和非振荡运动的影响。这是通过引入倒立摆模型和采用两种不同类型的分数阶导数来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractional-based nonlinear mechanical system modeling with FELEs: numerical analysis of oscillatory and nonoscillatory behavior of the inverted pendulum system

This paper examines the behavior of the inverted pendulum, a notably nonlinear system, in fractional dimensions using different fractional derivative types and order. The inverted pendulum, a two-degree-of-freedom system, exhibits both linear behavior due to the cart’s motion in the horizontal plane and oscillatory behavior due to the pendulum’s angular motion. Initially, the system’s equations of motion have been derived using the classical Euler–Lagrange equation (CELE), thereby obtaining the classical integer-order model. Subsequently, the fractional model has been developed using the fractional Euler–Lagrange equation (FELE) with the Riemann-Liouville and the Caputo–Fabrizio fractional derivatives. The results of the models obtained were shown in the simulation platform and presented comparatively. In this paper, the impact of fractional-order modeling on both oscillatory and nonoscillatory motions of mechanical systems is analyzed. This is achieved by introducing the inverted pendulum model and employing two different types of fractional-order derivatives.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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