Sensorless speed estimation and diagnosis of induction motors based on purified space vectors

D. Shi
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引用次数: 1

Abstract

A new scheme based on the demodulation technique and interpolated fast Fourier transform (IFFT) is proposed to construct purified space vector for the purpose of sensorless speed measurement and fault diagnosis for induction motors. The phase and amplitude fluctuation associated with the eccentricity harmonics is demodulated first. Interpolated fast Fourier transform is then performed to estimate the speed of induction motors running under constant speed and transient conditions. Experimental studies have further confirmed good agreement between the estimated motor speed using the proposed scheme and the measured speed using an encoder. The effectiveness of proposed purified space vector has been further demonstrated in the detection of coupling misalignments and stator faults.
基于纯化空间矢量的感应电机无传感器转速估计与诊断
提出了一种基于解调技术和内插快速傅里叶变换(IFFT)的空间矢量净化方案,用于异步电动机的无传感器转速测量和故障诊断。首先解调与偏心谐波相关的相位和振幅波动。然后用插值快速傅里叶变换估计异步电动机在恒速和瞬态条件下的转速。实验研究进一步证实了采用该方案估计的电机转速与采用编码器测量的转速之间的良好一致性。该方法在耦合失调和定子故障检测中的有效性得到了进一步的验证。
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