• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (18): 3-12.doi: 10.3901/JME.2023.18.003

• 特邀专栏:人工自愈与装备自主健康 • 上一篇    下一篇

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高端机械装备新型电磁式自动平衡系统研究

潘鑫1,2, 彭瑞轩1,2, 张皓宇1,2, 吴海琦1,2, 高金吉1,2   

  1. 1. 北京化工大学人工自愈研究所 北京 100029;
    2. 北京化工大学高端机械装备健康监控与自愈化北京市重点实验室 北京 100029
  • 收稿日期:2022-09-30 修回日期:2023-04-13 出版日期:2023-09-20 发布日期:2023-12-07
  • 通讯作者: 高金吉(通信作者),男,1942年出生,博士,教授,中国工程院院士。主要研究方向为设备故障诊断与自愈调控。E-mail:gaojinji@263.net
  • 作者简介:潘鑫,男,1987年出生,博士,副教授,硕士研究生导师。主要研究方向为旋转机械故障诊断与自愈调控。E-mail:panxin@mail.buct.edu.cn
  • 基金资助:
    国家自然科学基金面上(51875031)、北京市自然科学基金面上(3212010)和北京市优秀人才青年骨干个人(2017000020124G018)资助项目。

Research on Novel Electromagnetic Automatic Balancing System for High-end Mechanical Equipment

PAN Xin1,2, PENG Ruixuan1,2, ZHANG Haoyu1,2, WU Haiqi1,2, GAO Jinji1,2   

  1. 1. Artificial Self-recovery Research Institute, Beijing University of Chemical Technology, Beijing 100029;
    2. Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029
  • Received:2022-09-30 Revised:2023-04-13 Online:2023-09-20 Published:2023-12-07

摘要: 在线自动平衡系统因可实时抑制设备运行过程中的不平衡振动,是以高端机床和航空发动机为代表的高端机械装备实现仿生人工自愈与装备自主健康的重要研究领域之一。所研发的新型电磁式自动平衡系统在继承现有执行器平衡速度快、信号无需动静传递等优点的基础上,通过永磁-电磁联合驱动以有效提高执行器工作过程中的驱动效率,仿真分析结果表明,该方法可有效提高执行器驱动效率20%以上;面向该新型平衡系统进行测控方法研究,通过仿真分析对测控电路中的反向电动势等关键参数进行定量优化;最后通过试验台模拟试验和实际机床现场试验验证该系统的有效性和可靠性。现场试验结果表明,该系统可在20 s内将机床的不平衡振动从6.8μm降低至0.7 μm,并有效提高加工工件的表面质量。

关键词: 不平衡振动, 在线自动平衡, 电磁式, 精稳驱动, 表面加工质量

Abstract: Online automatic balancing system is one of the important research fields to achieve bionic artificial self-recouery and autonomous health of equipment represented by high-end machine tools and aero-engines because it can be used to suppress unbalanced vibration during the operation of equipment in real time. The developed novel electromagnetic automatic balancing system inherits the advantages of fast balancing speed of existing actuators and signal without dynamic transmission, etc., and improves the driving efficiency of the actuator working process effectively by combined permanent magnet- electromagnetic drive, and the simulation analysis results show that the method can effectively improve the actuator driving efficiency by more than 20%; Focusing on measurement and control methods for this new balancing system, quantitative optimization of key parameters such as reverse electric potential in the measurement and control circuit are done through simulation analysis. Finally, the validity and reliability of the system are verified through simulation tests on the test bench and field tests on actual machine tools. Field experimental results show that the system can reduce the unbalanced vibration of the machine tool from 6.8 μm to 0.7 μm within 20 seconds, effectively improving the surface quality of the processed workpiece.

Key words: unbalance vibration, online automatic balance, electromagnetic type, precise and stable drive, surface processing quality

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