Magnetic bearing: structure, model, and control strategy

磁力轴承 方位(导航) 润滑 机械工程 控制(管理) 工程类 控制工程 计算机科学 人工智能 磁铁
作者
Zhihang Huang,Changhe Li,Zongming Zhou,Bo Liu,Yanbin Zhang,Min Yang,Teng Gao,Mingzheng Liu,Naiqing Zhang,Shubham Sharma,Yusuf Suleiman Dambatta,Yongsheng Li
出处
期刊:The International Journal of Advanced Manufacturing Technology [Springer Science+Business Media]
卷期号:131 (5-6): 3287-3333 被引量:13
标识
DOI:10.1007/s00170-023-12389-8
摘要

Bearings are pivotal components in mechanical systems, providing crucial support to rotating bodies. However, traditional bearings are susceptible to failure caused by friction and wear. This vulnerability is particularly pronounced in scenarios involving ultrahigh speeds and extreme conditions, necessitating the minimization of bearing losses and the enhancement of performance. Magnetic bearings, distinguished by their frictionless operation, absence of lubrication requirements, and high-speed capabilities, offer a promising solution to mitigate bearing failure attributable to friction. Nevertheless, a comprehensive review of magnetic bearings, encompassing their structural attributes, modeling mechanisms, and control strategies, is currently lacking in the literature. This paper aims to address this gap by conducting an exhaustive literature review on magnetic bearings. The objective is to provide scientists with a profound understanding of the structural characteristics, operational mechanisms, control performance, and future development trajectories of this technology. The paper begins by categorizing various magnetic bearings and conducting an in-depth analysis of their properties and characteristics, focusing on their magnetic circuit structures. Subsequently, it delves into the working principles and performance of mathematical models for magnetic bearings with different configurations, outlining the modeling procedures and optimization approaches. Additionally, the paper highlights the impact of control strategies on the performance of magnetic bearings. Modern control theory has demonstrated a remarkable 50% improvement in position accuracy and adjustment time compared to traditional PID control. Finally, the paper offers a glimpse into the future of magnetic bearing design, modeling mechanisms, and control strategies, presenting prospective directions for further advancements in this field.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
qiao完成签到,获得积分10
刚刚
是阿泽啊完成签到 ,获得积分10
刚刚
在水一方应助enen采纳,获得10
1秒前
1秒前
2秒前
Orange应助qtzkk采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
淡定思松发布了新的文献求助10
3秒前
silence63发布了新的文献求助10
3秒前
qiao发布了新的文献求助10
4秒前
4秒前
4秒前
carter完成签到,获得积分10
4秒前
零零零零发布了新的文献求助10
5秒前
Romine发布了新的文献求助10
5秒前
卓垚完成签到,获得积分10
5秒前
石人达完成签到 ,获得积分10
6秒前
ayaya发布了新的文献求助10
6秒前
夜尽天明应助小虎采纳,获得10
6秒前
6秒前
可喜可乐完成签到,获得积分20
6秒前
刘晓丹发布了新的文献求助10
6秒前
8秒前
lzl完成签到,获得积分10
8秒前
8秒前
爱虹遍野完成签到,获得积分10
8秒前
souther完成签到,获得积分0
9秒前
快乐难敌发布了新的文献求助10
9秒前
10秒前
量子星尘发布了新的文献求助10
10秒前
嵇丹雪发布了新的文献求助10
10秒前
隐形曼青应助LC采纳,获得10
10秒前
猪猪hero发布了新的文献求助10
11秒前
NSS发布了新的文献求助10
11秒前
哈哈哈完成签到 ,获得积分10
12秒前
李健的小迷弟应助冰山泥采纳,获得10
12秒前
12秒前
12秒前
科研通AI5应助刘晓丹采纳,获得10
12秒前
桃子气泡酒完成签到,获得积分10
13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
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
The Pedagogical Leadership in the Early Years (PLEY) Quality Rating Scale 410
Modern Britain, 1750 to the Present (第2版) 300
Writing to the Rhythm of Labor Cultural Politics of the Chinese Revolution, 1942–1976 300
Lightning Wires: The Telegraph and China's Technological Modernization, 1860-1890 250
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4600946
求助须知:如何正确求助?哪些是违规求助? 4010853
关于积分的说明 12417790
捐赠科研通 3690768
什么是DOI,文献DOI怎么找? 2034618
邀请新用户注册赠送积分活动 1067979
科研通“疑难数据库(出版商)”最低求助积分说明 952609