This paper proposes a servo‐tuning system for five‐axis machine tools using a virtual feed drive system. The feed drive systems were first modeled to include the influence of friction and backlash. The particle swarm optimization (PSO) algorithm was adopted to identify and estimate the optimal system parameters. Therefore, the virtual system can be used to comprehend the influence of servo parameters on machining performance. The proposed approach was verified using the QC20‐W wireless ballbar to measure the results of the circular test. The experimental results indicate that our proposed approach can improve the rounding error by 21% and mismatch between the feed axes by 16%. In addition, based on parameter variations, such as variations in bandwidth, resonance frequency, and contour error, we propose methods to diagnose online contouring errors.

中文翻译：

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机床虚拟进给驱动系统的开发及其在诊断和伺服调整中的应用

本文提出了一种使用虚拟进给驱动系统的五轴机床伺服调谐系统。首先对进给驱动系统进行建模，以包括摩擦和间隙的影响。采用粒子群算法（PSO）对最优系统参数进行识别和估计。因此，虚拟系统可用于理解伺服参数对加工性能的影响。使用QC20-W无线球杆仪测量了循环测试的结果，验证了所提出的方法。实验结果表明，我们提出的方法可以将舍入误差提高21％，进给轴之间的不匹配度提高16％。另外，基于参数的变化，例如带宽，谐振频率和轮廓误差的变化，我们提出了诊断在线轮廓误差的方法。