Application of Butterworth filter for parameter identification of an induction machine

O. Touhami, R. Ibtiouen, S. Mekhtoub, L. Mghezzi
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引用次数: 1

Abstract

The authors present the application of Butterworth filter for parameter identification of an induction machine. MlMO (multi-inputs/multi-outputs), SISO (Single-input/Single-output) and MISO (multi-input/single output) continuous model structures were undertaken by using the recursive least square algorithms. The identification of the induction machine parameters is carried out from the experimental standstill tests where an electric request without danger to the windings, is supplied by a DC-chopper, giving a capacity of persistent excitation which has for effect to generate a signal rich with information.
巴特沃斯滤波器在感应电机参数辨识中的应用
介绍了巴特沃斯滤波器在感应电机参数辨识中的应用。采用递归最小二乘算法构建MlMO(多输入/多输出)、SISO(单输入/单输出)和MISO(多输入/单输出)连续模型结构。感应电机参数的识别是从静止试验中进行的,在静止试验中,由直流斩波器提供对绕组没有危险的电力要求,从而具有持续激励的能力,从而有效地产生富含信息的信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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