超高速空气动静压轴承-转子系统不平衡量在线识别研究

doi:10.3901/JME.2025.03.337

机械工程学报 ›› 2025, Vol. 61 ›› Issue (3): 337-346.doi: 10.3901/JME.2025.03.337

• 机械动力学 • 上一篇

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超高速空气动静压轴承-转子系统不平衡量在线识别研究

王晨飞, 王晓力, 郑辰

北京理工大学机械与车辆学院北京 100081

收稿日期:2024-02-26 修回日期:2024-11-12 发布日期:2025-03-12
作者简介:王晨飞，男，1995年出生，博士研究生。主要研究方向为空气轴承-转子非线性动力学。E-mail:3120205257@bit.edu.cn;王晓力(通信作者)，女，1965年出生，博士，教授，博士研究生导师。主要研究方向为摩擦学，黏附接触力学和轴承-转子系统动力学。E-mail:xiaoli_wang@bit.edu.cn
基金资助:
国家重点研发计划资助项目(2022YFB3402701)。

Research on Online Unbalance Identification for Ultra-high Speed Hybrid Gas Bearing-rotor System

WANG Chenfei, WANG Xiaoli, ZHENG Chen

Department of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081

Received:2024-02-26 Revised:2024-11-12 Published:2025-03-12

摘要/Abstract

摘要： 针对现有无试重动平衡方法忽略超高速下轴承力的非线性而导致不平衡量识别精度低的问题，提出考虑非线性气膜力的空气动静压轴承-柔性转子系统不平衡量在线识别方法。首先，建立考虑非线性瞬态气膜力的空气动静压轴承-柔性转子动力学模型，提出基于频谱幅值法的数值求解终止依据，构建了不平衡量响应数据库；基于兼具全局寻优能力和局部搜索能力的混合遗传模拟退火算法，实现了超高速下轴承-转子系统不平衡量的在线识别。仿真和试验结果表明，相比于传统基于时间周期的非线性动力学计算终止条件，基于频谱幅值法的计算效率大幅提高；相比于基于线性轴承力模型的不平衡量识别结果，基于非线性气膜力的转子不平衡量在线识别方法提高了不平衡量识别精度，可准确地识别系统的不平衡量大小和相位，为超高速在线动平衡测试提供依据。

关键词: 超高速, 空气动静压轴承-转子动力学, 非线性气膜力, 在线不平衡量识别, 混合遗传模拟退火算法

Abstract: Aiming at the problem that dynamic balancing method without trial weights neglects the bearing nonlinearity under the ultra-high speed, causing the low accuracy of multifaceted unbalance identification, an online unbalance identification method for hybrid gas bearing-rotor system considering the nonlinear gas film force is proposed. Firstly, a numerical solution termination method based on spectral amplitude is developed and a dynamic model of hybrid gas bearing-rotor system considering nonlinear transient gas film force is established to build an unbalance response database. Moreover, based on the hybrid genetic simulated annealing algorithm with both global optimization and local search capability, online unbalance identification of bearing-rotor systems under ultra-high speed is realized. The simulation and test results show that compared with the traditional time-period method as the termination condition of nonlinear dynamics calculation, the efficiency of the spectral amplitude method is greatly improved. Furthermore, compared with the unbalance identified by linear bearing force assumption, the online unbalance identification method considering the nonlinear gas film force improves the accuracy of unbalance identification, which can accurately identify the unbalance magnitude and phase of rotor system, and provide technical support for ultra-high speed online dynamic balance test.

Key words: ultra-high speed, hybrid gas bearing-rotor dynamic, nonlinear gas film force, online unbalance identification, hybrid genetic simulated annealing algorithm

中图分类号:

TH17

王晨飞, 王晓力, 郑辰. 超高速空气动静压轴承-转子系统不平衡量在线识别研究[J]. 机械工程学报, 2025, 61(3): 337-346.

WANG Chenfei, WANG Xiaoli, ZHENG Chen. Research on Online Unbalance Identification for Ultra-high Speed Hybrid Gas Bearing-rotor System[J]. Journal of Mechanical Engineering, 2025, 61(3): 337-346.

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超高速空气动静压轴承-转子系统不平衡量在线识别研究

Research on Online Unbalance Identification for Ultra-high Speed Hybrid Gas Bearing-rotor System

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