亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Electromechanical coupling dynamic responses of motor-gear system under different motor control methods

联轴节(管道) 控制理论(社会学) 电动机控制 控制(管理) 计算机科学 汽车工程 控制工程 工程类 神经科学 机械工程 心理学 人工智能
作者
Zhaoyuan Yao,Tianliang Lin,Haoling Ren,Shengjie Fu
出处
期刊:Journal of Low Frequency Noise Vibration and Active Control [SAGE Publishing]
标识
DOI:10.1177/14613484241299469
摘要

The integration of a motor-gear system (MGS) can introduce complex electromechanical coupling dynamics issues. For example, mechanical vibrations within the gear transmission system (GTS) may cause deviations in the actual output power of motor, while torque fluctuations of motor can lead to significant impacts and vibrations during gear meshing. Consequently, this paper primarily addresses abnormal vibrations resulting from electromechanical coupling in MGS and investigates methods for their suppression. The objective is to examine the effect of various motor control techniques on the dynamics of MGS. Initially, a universal modeling approach for MGS, adaptable to different engineering scenarios with simple modifications to gear or motor parameters, is developed. This model includes the equivalent circuit model of the permanent magnet synchronous motor (PMSM), mathematical model of the motor rotor, and bending-torsion coupling model of the GTS. Coupling channels are established between these local models, facilitating the construction of a comprehensive electromechanical coupling dynamic model of MGS. The efficacy of this proposed model is validated through experimentation. Subsequently, different motor control techniques based on this model to assess their effects on the dynamics of both motor and GTS are analyzed. The results suggest that, without altering the mechanical structure of system, the dynamic behaviors of MGS can be improved through the implementation of motor control strategies. This approach aids in mitigating the exacerbation of abnormal vibrations within the MGS.

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
不晚完成签到 ,获得积分10
刚刚
3秒前
6秒前
8秒前
YourMUm发布了新的文献求助10
12秒前
17秒前
深情安青应助危机的赛君采纳,获得10
18秒前
charliechen完成签到 ,获得积分10
21秒前
qianru发布了新的文献求助10
22秒前
hms发布了新的文献求助10
24秒前
科研通AI6.4应助qianru采纳,获得10
39秒前
hms完成签到 ,获得积分10
42秒前
YifanWang应助qin采纳,获得50
45秒前
Akim应助科研通管家采纳,获得10
47秒前
hzc发布了新的文献求助10
1分钟前
我要看文献完成签到 ,获得积分10
1分钟前
1分钟前
共享精神应助dhx7530采纳,获得10
1分钟前
chen完成签到 ,获得积分10
1分钟前
珞燚发布了新的文献求助10
1分钟前
赘婿应助崴Jio辣子面采纳,获得10
1分钟前
沿途有你完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
木有完成签到 ,获得积分0
1分钟前
1分钟前
1分钟前
1分钟前
2分钟前
彭于晏应助黄羡安采纳,获得10
2分钟前
2分钟前
AllRightReserved应助oleskarabach采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
嗜蛋黄小怪布丁完成签到,获得积分10
2分钟前
2分钟前
张宏磊发布了新的文献求助10
2分钟前
2分钟前
2分钟前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6495668
求助须知:如何正确求助?哪些是违规求助? 8292421
关于积分的说明 17694768
捐赠科研通 5589685
什么是DOI,文献DOI怎么找? 2916601
邀请新用户注册赠送积分活动 1893478
关于科研通互助平台的介绍 1752953