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Parameter Identification of an Induction Machine at Standstill Using the Vector Constructing Method

机译:矢量构造方法的异步电机静止状态参数辨识

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摘要

The squirrel-cage induction machine (IM) has been widely employed in microgrid. Accurate electrical parameters are necessary for the field-oriented control of the IM to achieve excellent performance. In this paper, a new offline identification scheme is presented based on the vector constructing method. The IM parameters are estimated using the recursive least squares (RLS) algorithm, which is applied to the continuous-time model of the IM at standstill. A single-phase ac test is used to make the machine standstill. The main feature of the proposed scheme is that the stator voltage, stator current and their derivatives, which are normally needed for the RLS algorithm, are constructed by the vector constructing method. The constructing rules are elaborated, which indicate that the phase shift and the amplitude ratio between the fundamental components of the voltage and the current have to be unchanged. This feature can avoid the analog or digital differentiators and greatly increase the noise immunity. Furthermore, the digital low-pass filter is not required for the proposed scheme, which can reduce the complexity of the identification scheme. Simulation and experimental results have been presented to demonstrate the validity and the feasibility of the proposed scheme.
机译:鼠笼感应机(IM)已被广泛应用于微电网。精确的电气参数对于IM的现场控制来说是必不可少的,以实现出色的性能。本文提出了一种基于向量构造方法的离线识别方案。使用递归最小二乘(RLS)算法估计IM参数,该算法应用于静止状态下的IM连续时间模型。单相交流测试用于使机器停止运行。该方案的主要特点是,通过矢量构造方法构造了RLS算法通常需要的定子电压,定子电流及其导数。详细的构造规则表明,相移和电压与电流基本分量之间的幅度比必须保持不变。此功能可以避免模拟或数字差分器,并大大提高了抗噪能力。此外,提出的方案不需要数字低通滤波器,这可以降低识别方案的复杂性。仿真和实验结果已经证明了该方案的有效性和可行性。

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