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Research on fault detection method for AC servo system using FFT algorithm

机译:基于FFT算法的交流伺服系统故障检测方法研究

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This paper explores the on-line fault detection method for AC servo system, that is, when the motor has not stopped due to the fault, the fault information is detected by using the information measured from the control system. In view of the AC servo system composed of brushless DC motor, the spectrum of DC bus current is analyzed, and the characteristics of different faults are extracted to realize the on-line fault detection of the system. The normalization method of DC bus current in FFT transform, the extraction of spectrum feature of different faults and the method of fault detection are studied. Finally, the feasibility of the method is verified by simulation results.
机译:本文探讨了交流伺服系统的在线故障检测方法,即当电机由于故障而没有停止时,通过使用从控制系统测量的信息来检测故障信息。鉴于由无刷直流电机组成的AC伺服系统,分析了直流总线电流的频谱,提取了不同故障的特性以实现系统的在线故障检测。 FFT变换中DC总线电流的标准化方法,研究了不同故障的频谱特征和故障检测方法的提取。最后,通过模拟结果验证了该方法的可行性。

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