变速恒频无刷双馈发电机集成耦合参数辨识

王一丁, 苏建徽, 解宝, 施永, 于鸿儒

太阳能学报 ›› 2023, Vol. 44 ›› Issue (4) : 17-22.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (4) : 17-22. DOI: 10.19912/j.0254-0096.tynxb.2021-1019

变速恒频无刷双馈发电机集成耦合参数辨识

  • 王一丁, 苏建徽, 解宝, 施永, 于鸿儒
作者信息 +

IDENTIFICATION OF INTEGRATED COUPLING PARAMETERS OF VARIABLE SPEED CONSTANT FREQUENCY BRUSHLESS DOUBLY-FED GENERATOR

  • Wang Yiding, Su Jianhui, Xie Bao, Shi Yong, Yu Hongru
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文章历史 +

摘要

由于无刷双馈电机模型的复杂性,其绕组参数难以识别,该文基于无刷双馈电机结构特点,提出一种集成耦合参数的辨识方法。该方法基于控制模型推导绕组间电压、电流的关系,测量稳态时无刷双馈电机的电气量,计算获得控制绕组侧集成耦合参数。该方法绕开了对电机绕组参数直接辨识困难的问题,能直接用于控制器设计。最后在30 kW无刷双馈电机实验平台上进行实验验证,实验结果表明所提方法具备可行性和有效性。

Abstract

Due to the complexity of the brushless doubly-fed machine model, its winding parameters are difficult to identify. Based on the structural characteristics of the brushless doubly-fed machine, this paper proposes an integrated coupling parameter identification method. This method derives the relationship between voltage and current between windings based on the control model, measures the electrical quantity of the brushless doubly-fed machine in steady state, and calculates the integrated coupling parameters at the control winding side. This method bypasses the problem of direct identification of motor winding parameters, and can be directly used in controller design. Finally, the experimental verification is carried out on the 30 kW brushless doubly-fed machine experimental platform, and the experimental results show that the proposed method is feasible and effective.

关键词

参数辨识 / 前馈控制 / 感应发电机 / 变速恒频 / 集成耦合参数

Key words

parameter identification / feedforward control / induction generator / variable speed constant frequency / integrated coupling parameter

引用本文

导出引用
王一丁, 苏建徽, 解宝, 施永, 于鸿儒. 变速恒频无刷双馈发电机集成耦合参数辨识[J]. 太阳能学报. 2023, 44(4): 17-22 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1019
Wang Yiding, Su Jianhui, Xie Bao, Shi Yong, Yu Hongru. IDENTIFICATION OF INTEGRATED COUPLING PARAMETERS OF VARIABLE SPEED CONSTANT FREQUENCY BRUSHLESS DOUBLY-FED GENERATOR[J]. Acta Energiae Solaris Sinica. 2023, 44(4): 17-22 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1019
中图分类号: TM346   

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基金

安徽省自然科学基金(1908085QE238); 中央基本科研业务(JZ2021HGQA0194; PA2021GDGP0060)

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