• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (13): 184-192.doi: 10.3901/JME.2023.13.184

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A Submicron Unbalance Vibration Targeted Suppression Method for High-end Equipment Based on Self-correcting Coefficient and Fuzzy PID

XU Congcong1,2, PAN Xin1,2, ZHANG Haoyu1,2, ZHANG Xin1,2   

  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:2022-08-25 Revised:2022-12-15 Online:2023-07-05 Published:2023-08-15

Abstract: Unbalance vibration of rotor system is the main reason for the excessive vibration of high-end equipment represented by high-end machine tools and aero-engines. In order to achieve fast, accurate and precise suppression of unbalance vibration of high-end equipment, a targeted suppression method of unbalance vibration based on self-correcting coefficient and fuzzy PID is proposed. This method is based on the electromagnetic automatic balancing actuator, takes the self-correcting coefficient method as the core, and introduces the fuzzy PID algorithm to optimize the number of steps of a single action of the counterweight disc. The simulation results show that the fuzzy PID algorithm realizes the variable step size control of the counterweight disc and reduces the balancing time. Finally, the effectiveness and reliability of the proposed method were verified through the test bench simulation experiment and the machine tool field test. The simulation experiment results show that the proposed method has better control effect and faster balancing speed than the traditional influence coefficient method. The field test results show that balancing system can reduce the unbalance vibration of the machine tool from 5.0 μm to 0.3 μm within 30 s, realize the sub-micron vibration control of high-end equipment, and effectively improve the roundness error of the machined workpiece.

Key words: unbalance vibration, targeted suppression, fuzzy PID, self-correcting coefficient

CLC Number: