Synchronization Via Fractal–Fractional Differential Operators on Two-Mass Torsional Vibration System Consisting of Motor and Roller

分形 振动 微分方程 操作员(生物学) 控制理论(社会学) 数学 计算机科学 数学分析 物理 控制(管理) 化学 抑制因子 人工智能 基因 转录因子 量子力学 生物化学
作者
Kashif Ali Abro,Abdon Atangana
出处
期刊:Journal of Computational and Nonlinear Dynamics [ASME International]
卷期号:16 (12) 被引量:12
标识
DOI:10.1115/1.4052189
摘要

Abstract Due to increasing demand of lightweight shafts from industries, the drive systems are crucially demanded for larger inertias of motors and load machines because of control structures for the electrical equipment. The mathematical modeling of two-mass torsional vibration system consisting of motor and roller has been proposed via newly presented fractal–fractional differential operators. The dynamical model of the electromechanical coupling main drive system of rolling mill is based on total kinetic energy and potential energy on the basis of two degree-of-freedom. The fractal and fractional evolutionary differential equation containing nonlinearity have been investigated for the derivation of numerical schemes. Three types of numerical schemes say Caputo differential scheme, Caputo–Fabrizio differential scheme, and Atangana–Baleanu differential scheme have been established through Adams–Bashforth–Moulton method. In order to check the stability and effectiveness, we presented the chaotic comparison of Caputo fractal– fractional operator, Caputo–Fabrizio fractal–fractional operator, and Atangana fractal–fractional operator on the basis of dynamical embedded parameters (vibration angle, rotational speed, stiffness coefficient, load friction damping torque, and few others). Our results suggest that fractal–fractionalized model for electromechanical drive system of rolling mill has better attenuation performance and tracking behaviors in comparison with classical models.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Sherry完成签到,获得积分10
2秒前
3秒前
芭比馒头发布了新的文献求助10
4秒前
6秒前
FashionBoy应助QDR采纳,获得10
6秒前
6秒前
dandna完成签到 ,获得积分10
7秒前
完美世界应助可靠盼旋采纳,获得10
7秒前
孙成发布了新的文献求助10
8秒前
酷波er应助笑点低的文轩采纳,获得10
9秒前
CipherSage应助丸子采纳,获得10
11秒前
11秒前
11秒前
11秒前
桐桐应助突突突采纳,获得10
12秒前
13秒前
14秒前
星辰大海应助996采纳,获得10
16秒前
懒人发布了新的文献求助10
16秒前
FashionBoy应助包包采纳,获得10
16秒前
BJzeng发布了新的文献求助10
18秒前
慕青应助XW采纳,获得10
18秒前
luck完成签到,获得积分10
18秒前
uppercrusteve完成签到,获得积分10
18秒前
顺利灵枫完成签到,获得积分10
19秒前
19秒前
19秒前
21秒前
22秒前
23秒前
吃鸡蛋不吃鸡蛋黄完成签到 ,获得积分10
23秒前
23秒前
潇洒的诗桃完成签到,获得积分0
24秒前
和其正完成签到,获得积分10
24秒前
25秒前
今天湘玉美不美完成签到,获得积分10
25秒前
25秒前
li发布了新的文献求助10
26秒前
26秒前
芭比馒头完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025410
求助须知:如何正确求助?哪些是违规求助? 7662675
关于积分的说明 16179208
捐赠科研通 5173549
什么是DOI,文献DOI怎么找? 2768262
邀请新用户注册赠送积分活动 1751639
关于科研通互助平台的介绍 1637724