电磁混合式耦合器调隙装置多目标参数优化

doi:10.3785/j.issn.1008-973X.2025.05.014

浙江大学学报(工学版)

2025, Vol. 59

Issue (5): 1007-1017 DOI: 10.3785/j.issn.1008-973X.2025.05.014

机械工程

电磁混合式耦合器调隙装置多目标参数优化

王爽1,2,3(

),孙守锁2,3,郭永存1,2,3,胡泽永2,3

1. 安徽理工大学煤炭无人化开采数智技术全国重点实验室，安徽淮南 232001
2. 安徽理工大学矿山智能技术与装备省部共建协同创新中心，安徽淮南 232001
3. 安徽理工大学机电工程学院，安徽淮南 232001

Multi-objective parameter optimization of gapping device for electromagnetic hybrid coupler

Shuang WANG1,2,3(

),Shousuo SUN2,3,Yongcun GUO1,2,3,Zeyong HU2,3

1. State Key Laboratory of Digital and Intelligent Technology for Unmanned Coal Mining, Anhui University of Science and Technology, Huainan 232001, China
2. Collaborative Innovation Center of Mine Intelligent Equipment and Technology, Anhui University of Science and Technology, Huainan 232001, China
3. School of Electrical and Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China

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摘要：

针对双盘式磁力耦合器的调隙机构普遍存在的体积大、调节精度低的问题，提出新型的电磁混合式磁力耦合器，通过电磁驱动可以实现磁力耦合器的精准调隙. 以平均推力和推力波动为目标，对核心构件电磁调隙装置进行多目标优化. 基于敏感度分析对设计参数进行分级优化，提出蜣螂优化算法优化BP神经网络模型(DBO-BP)和多目标金豺优化算法(MOGJO)，结合响应面法和扫描法，确定电磁调隙装置的最优参数. 基于有限元法对推力波形、感应电动势、磁感应强度及磁场线分布进行分析，优化后径向气隙磁感应强度提升了19%，平均推力提升了57.8%，推力波动比值降低了28.3%，验证了最终设计相对于最初设计的优异性能以及新型磁力耦合器多目标参数分级优化的正确性.

关键词： 磁力耦合器; 电磁调隙; DBO-BP神经网络; 多目标金豺优化(MOGJO)算法; 多目标参数优化

Abstract:

A new electromagnetic hybrid magnetic coupler was proposed aiming at the problems of large volume and low adjustment precision that generally exist in the gapping mechanism of the double-disk magnetic coupler. The precise gapping of the magnetic coupler can be achieved through electromagnetic drive. Multi-objective optimization of the core component electromagnetic gapping device was conducted with average thrust and thrust fluctuation as the objectives. The dung beetle optimization algorithm optimization BP neural network model (DBO-BP) and the multi-objective golden jackal optimization algorithm (MOGJO) were proposed based on the sensitivity analysis for hierarchical optimization of design parameters in order to determine the optimal parameters of the electromagnetic gapping device by combining the response surface method and the scanning method. The thrust waveform, induced electromotive force, magnetic induction and magnetic field line distribution were analyzed based on the finite element method. The optimized radial air-gap magnetic induction was improved by 19%, the average thrust was improved by 57.8%, and the thrust fluctuation ratio was reduced by 28.3%. The excellent performance of the final design with respect to the initial design and the correctness of the multi-objective parameter grading optimization of the new magnetic coupler were verified.

Key words: magnetic coupler electromagnetically regulated air gap DBO-BP neural network multi-objective golden jackal optimization (MOGJO) algorithm multi-objective parameter optimization

收稿日期: 2024-03-12 出版日期: 2025-04-25

CLC:

TH 133

基金资助: 安徽省高校杰出青年科研资助项目（2022AH020056）；国家自然科学基金资助项目（52274152, 52404160）；安徽省自然科学优秀青年科研基金资助项目（2308085Y37）.

作者简介: 王爽（1991—），女，副教授，博导，从事高效磁力传动的研究. orcid.org/0000-0002-6452-778X. E-mail：shuangw094@126.com

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引用本文:

王爽,孙守锁,郭永存,胡泽永. 电磁混合式耦合器调隙装置多目标参数优化[J]. 浙江大学学报(工学版), 2025, 59(5): 1007-1017.

Shuang WANG,Shousuo SUN,Yongcun GUO,Zeyong HU. Multi-objective parameter optimization of gapping device for electromagnetic hybrid coupler. Journal of ZheJiang University (Engineering Science), 2025, 59(5): 1007-1017.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2025.05.014 或 https://www.zjujournals.com/eng/CN/Y2025/V59/I5/1007

图 1 新型电磁混合式磁力耦合器的结构

图 2 调隙装置的结构图

图 3 电磁调隙装置的二维磁场解析模型

图 4 径向气隙的磁感应强度

图 5 轴向气隙的磁感应强度

图 6 电磁调隙装置的初始模型推力

图 7 电磁调隙装置结构参数的示意图

表 1 待优化结构参数的初始值及变化范围

表 2 平均推力方差与推力波动方差

图 8 结构参数的敏感性分析结果

图 9 分级优化的流程图

表 3 不同代理模型的拟合效果检验

图 10 第1级Pareto图

表 4 第2级优化的初始点

表 5 中敏感度参数 Box-Behnken实验设计及结果

图 11 点A、B、C的部分响应面图

图 12 第2级优化的pareto图

表 6 第3级优化的初始点

图 13 时间对比箱线图

表 7 弱敏感度设计参数扫描表

图 14 弱敏感度参数的扫描结果图

表 8 参数优化前、后的对比表

图 15 优化后径向气隙磁感应强度

图 16 优化后轴向气隙磁感应强度

图 17 优化前、后的推力波形图

图 18 优化前、后的感应电动势波形图

图 19 磁力线的对比图

图 20 磁感应强度的对比云图

1	杨超君, 袁爱仁, 陈子清, 等盘式实心异步磁力耦合器的机械特性与调速特性[J]. 电机与控制学报, 2019, 23 (5): 110- 118 YANG Chaojun, YUAN Airen, CHEN Ziqing, et al Mechanical properties and adjustable-speed characteristics of axial-flux-solid-type asynchronous magnetic couplers[J]. Electric Machines and Control, 2019, 23 (5): 110- 118
2	张炳义, 冯永, 冯桂宏, 等轴向磁通调速磁力耦合器漏磁系数分析计算与试验研究[J]. 电机与控制学报, 2019, 23 (3): 73- 80 ZHANG Bingyi, FENG Yong, FENG Guihong, et al Calculation method of magnetic flux leakage coefficient and experimental study of permanent magnet coupler with axial magnetic flux[J]. Electric Machines and Control, 2019, 23 (3): 73- 80
3	WANG J, ZHU J A simple method for performance prediction of permanent magnet eddy current couplings using a new magnetic equivalent circuit model[J]. IEEE Transactions on Industrial Electronics, 2018, 65 (3): 2487- 2495 doi: 10.1109/TIE.2017.2739704
4	FLORIO F, SINHA G, SUNDARARAMAN R Designing high-accuracy permanent magnets for low-power magnetic resonance imaging[J]. IEEE Transactions on Magnetics, 2018, 54 (5): 1- 9
5	MOHAMMADI S, MIRSALIM M, VAEZ-ZADEH S, et al Analytical modeling and analysis of axial-flux interior permanent-magnet couplers[J]. IEEE Transactions on Industrial Electronics, 2014, 61 (11): 5940- 5947 doi: 10.1109/TIE.2014.2311391
6	ABEROOMAND V, MIRSALIM M, FESHARAKIFARD R Design optimization of double-sided permanent-magnet axial eddy-current couplers for use in dynamic applications[J]. IEEE Transactions on Energy Conversion, 2019, 34 (2): 909- 920 doi: 10.1109/TEC.2018.2880679
7	ARSLAN S, ISKENDER I, NAVRUZ T S Fem-based optimal design and testing of synchronous magnetic coupling for aerospace starter/generator applications[J]. Engineering Science and Technology: an International Journal-Jestech, 2023, 41 (3): 1042- 1060
8	ALSHAMMARI S, LAZARI P, ATALLAH K Comparison of eddy current coupling topologies for high efficiency mechanical power transmission[J]. IEEE Transactions on Energy Conversion, 2023, 38 (2): 982- 992 doi: 10.1109/TEC.2022.3217347
9	葛研军, 周凯凯, 刘艳龙, 等磁力耦合器调速机构研究[J]. 大连交通大学学报, 2014, 35 (3): 32- 36 GE Yanjun, ZHOU Kaikai, LIU Yanlong, et al Research on the speed regulation mechanism of magnetic coupling[J]. Journal of Dalian Jiaotong University, 2014, 35 (3): 32- 36 doi: 10.3969/j.issn.1673-9590.2014.03.008
10	杨超君, 吉城龙, 张秀文, 等筒式异步磁力耦合器的转矩与调速关系研究[J]. 电机与控制学报, 2019, 23 (1): 108- 116 YANG Chaojun, JI Chenglong, ZHANG Xiuwen, et al Torque and adjustable-speed relation for drum-type asynchronous magnetic couplers[J]. Electric Machines and Control, 2019, 23 (1): 108- 116
11	杨超君, 朱莉, 吴盈志, 等开槽型盘式异步磁力耦合器调速特性[J]. 电机与控制学报, 2021, 25 (11): 130- 138 YANG Chaojun, ZHU Li, WU Yingzhi, et al Speed-control characteristics of slotted-type axial-flux asynchronous magnetic couplers[J]. Electric Machines and Control, 2021, 25 (11): 130- 138
12	周凯凯, 史岳鹏, 李骞, 等永磁式异步磁力耦合器设计及分析[J]. 机械设计与研究, 2022, 38 (3): 184- 188 ZHOU Kaikai, SHI Yuepeng, LI Qian, et al Design and analysis of a permanent magnetic asynchronous coupler[J]. Machine Design and Research, 2022, 38 (3): 184- 188
13	葛研军, 刘述良, 王建帅锥形转子磁力耦合器调速机理研究[J]. 制造技术与机床, 2022, (5): 77- 83 GE Yanjun, LIU Shuliang, WANG Jianshuai Study on speed-regulation mechanism of cone-rotor magnetic coupler[J]. Manufacturing Technology and Machine Tool, 2022, (5): 77- 83
14	LI Y, LIN H, HUANG H, et al Analysis and performance evaluation of an efficient power-fed permanent magnet adjustable speed drive[J]. IEEE Transactions on Industrial Electronics, 2019, 66 (1): 784- 794 doi: 10.1109/TIE.2018.2832018
15	杨超君, 戚玉堂, 丁逸飞, 等温度影响下的开槽盘式磁力耦合器调速特性[J]. 电机与控制学报, 2024, 28 (1): 69- 77 YANG Chaojun, QI Yutang, DING Yifei, et al Speed regulation performance of slotted-type axial-flux magnetic couplers under temperature influence[J]. Electric Machines and Control, 2024, 28 (1): 69- 77
16	程苗苗, 翟朋辉, 张英杰, 等基于自学习非线性PID的音圈电机精密定位系统[J]. 电工技术学报, 2023, 38 (6): 1519- 1530 CHENG Miaomiao, ZHAI Penghui, ZHANG Yingjie, et al A voice coil motor-driven precision positioning system based on self-learning nonlinear PID[J]. Transactions of China Electrotechnical Society, 2023, 38 (6): 1519- 1530
17	陈晓丹, 吴澳, 赵睿杰, 等磁悬浮无轴离心泵叶轮转子动力学特性[J]. 浙江大学学报: 工学版, 2023, 57 (8): 1680- 1688 CHEN Xiaodan, WU Ao, ZHAO Ruijie, et al Rotor dynamics of impeller in a magnetic suspension bearingless centrifugal pump[J]. Journal of Zhejiang University: Engineering Science, 2023, 57 (8): 1680- 1688
18	付东山, 贾泽宇, 吴富强, 等新型斜气隙圆筒型横向磁通切换直线电机及其建模分析[J]. 中国电机工程学报, 2022, 42 (15): 5706- 5719 FU Dongshan, JIA Zeyu, WU Fuqiang, et al Novel oblique air-gap tubular transverse flux switching permanent magnet linear motors and its modeling analysis[J]. Proceedings of the CSEE, 2022, 42 (15): 5706- 5719
19	王明杰, 李彦彦, 焦留成, 等永磁游标直线电机磁场解析计算[J]. 电机与控制学报, 2017, 21 (10): 54- 61 WANG Mingjie, LI Yanyan, JIAO Liucheng, et al Analytical magnetic field calculation of linear permanent magnet vernier motor[J]. Electric Machines and Control, 2017, 21 (10): 54- 61
20	曹晓彦, 于敏, 周瑾, 等可调旋转式流体阻尼器参数多目标优化设计[J]. 浙江大学学报: 工学版, 2023, 57 (7): 1439- 1449 CAO Xiaoyan, YU Min, ZHOU Jin, et al Multi-objective optimization design of adjustable rotary fluid damper parameter[J]. Journal of Zhejiang University: Engineering Science, 2023, 57 (7): 1439- 1449
21	李祥林, 李金阳, 杨光勇, 等电励磁双定子场调制电机的多目标优化设计分析[J]. 电工技术学报, 2020, 35 (5): 972- 982 LI Xianglin, LI Jinyang, YANG Guangyong, et al Multi-objective optimization analysis of electric-excitation double-stator field-modulated machine[J]. Transactions of China Electrotechnical Society, 2020, 35 (5): 972- 982
22	张德胜, 杨港, 赵旭涛, 等基于BP神经网络的立式离心泵导叶与蜗壳优化设计[J]. 农业机械学报, 2022, 53 (4): 130- 139 ZHANG Desheng, YANG Gang, ZHAO Xutao, et al Optimization design of vane diffuser and volute in vertical centrifugal pump based on back propagation neural network[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (4): 130- 139 doi: 10.6041/j.issn.1000-1298.2022.04.013
23	XUE J, SHEN B Dung beetle optimizer: a new meta-heuristic algorithm for global optimization[J]. Journal of Supercomputing, 2022, 79 (7): 7305- 7336
24	REN C, AN N, WANG J, et al Optimal parameters selection for BP neural network based on particle swarm optimization: a case study of wind speed forecasting[J]. Knowledge-Based Systems, 2014, 56 (2): 226- 239
25	CHOPRA N, ANSARI M M Golden jackal optimization: a novel nature-inspired optimizer for engineering applications[J]. Expert Systems with Applications, 2022, 198 (4): 323- 336

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