基于转子电流模型参考自适应的双馈电机无位置传感器预测功率控制

doi:10.11985/2021.04.013

电气工程学报 ›› 2021, Vol. 16 ›› Issue (4): 101-107.doi: 10.11985/2021.04.013

• 特邀专栏：高性能永磁电机驱动与控制 • 上一篇下一篇

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基于转子电流模型参考自适应的双馈电机无位置传感器预测功率控制

张晟铵¹(), 张永昌²(), 焦健³(), 蒋涛²()

1.北方工业大学电力电子与电气传动北京市工程研究中心北京 100144
2.华北电力大学电气与电子工程学院北京 102206
3.北京交通大学电气工程学院北京 100044

收稿日期:2021-03-25 修回日期:2021-05-25 出版日期:2021-12-25 发布日期:2022-02-10
通讯作者: 张永昌 E-mail:zsa15531679188@163.com;zyc@ncut.edu.cn;79157937@qq.com;jiangtao1130@qq.com
作者简介:* 张永昌,男,1982年生,博士,教授,博士研究生导师。主要研究方向为电力电子与电机控制。E-mail： zyc@ncut.edu.cn
张晟铵,男,1995年生,硕士研究生。主要研究方向为双馈电机预测控制。E-mail： zsa15531679188@163.com
焦健,男,1993年生,博士研究生。主要研究方向为双馈电机预测控制。E-mail： 79157937@qq.com
蒋涛,男,1995年生,博士研究生。主要研究方向为双馈电机预测控制。E-mail： jiangtao1130@qq.com

Position Sensorless Predictive Power Control of Doubly-fed Induction Generator Based on Rotor Current Model Reference Adaptive System

ZHANG Shengan¹(), ZHANG Yongchang²(), JIAO Jian³(), JIANG Tao²()

1. Power Electronics and Motor Drive Engineering Research Center of Beijing, North China University of Technology, Beijing 100144
2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206
3. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044

Received:2021-03-25 Revised:2021-05-25 Online:2021-12-25 Published:2022-02-10
Contact: ZHANG Yongchang E-mail:zsa15531679188@163.com;zyc@ncut.edu.cn;79157937@qq.com;jiangtao1130@qq.com

摘要/Abstract

摘要：

双馈电机以其变流器功率小、有功无功控制灵活、能量双向流动等优点在风力发电系统中得到了广泛应用。现有的矢量控制需要对多个PI系数进行整定,还需要安装位置传感器来获得转子位置和转速,在增大电机体积和成本的同时降低了系统的可靠性。为此,提出一种无需PI整定和安装位置传感器的新型解决方案。首先,在解析推导定子侧复功率微分的基础上,基于功率无差拍控制的思想直接计算得到转子侧的电压参考值,无需任何控制器整定工作。其次,通过比较实测转子电流和基于定子磁链电流模型的估计转子电流,构造了基于转子电流模型参考自适应的位置估计方法,从而实现了无位置传感器控制。试验结果表明,所提出的方法在次同步、超同步和功率阶跃等各种工况下都能够较好地跟踪实际位置和转速,并且具有优异的稳态性能和快速的动态响应,为双馈电机风力发电系统提供了一种低成本、高性能、易于应用的解决方案。

关键词: 双馈电机, 位置观测器, 无差拍预测控制

Abstract:

Doubly-fed induction generators have been widely used in wind power generation systems due to their low converter power, flexible active and reactive power control, and two way flow of energy. The existing vector control needs to tune multiple PI coefficients, and additionally needs to install a position sensor to obtain the rotor position and speed, which increases the volume and cost of the generator while reducing the reliability of the system. Therefore, a new solution that does not require PI setting and installation of position sensors is proposed. First, on the basis of analytically deriving the complex power differential on the stator side, the voltage reference value on the rotor side is directly calculated based on the idea of power deadbeat control without any controller setting work. Secondly, by comparing the measured rotor current with the estimated rotor current based on the stator flux current model, a position estimation method based on the rotor current model reference adaptive is constructed, thereby realizing the position sensorless control. The experimental results show that the method proposed can track the actual position and speed well under various working conditions such as sub-synchronization, super-synchronization and power step, and has excellent steady-state performance and fast dynamic response and provides the doubly-fed wind power generation system provides a low-cost, high-performance, and easy-to-apply solution.

Key words: Doubly-fed induction generator, position observer, deadbeat predictive control

中图分类号:

TM561

张晟铵, 张永昌, 焦健, 蒋涛. 基于转子电流模型参考自适应的双馈电机无位置传感器预测功率控制[J]. 电气工程学报, 2021, 16(4): 101-107.

ZHANG Shengan, ZHANG Yongchang, JIAO Jian, JIANG Tao. Position Sensorless Predictive Power Control of Doubly-fed Induction Generator Based on Rotor Current Model Reference Adaptive System[J]. Journal of Electrical Engineering, 2021, 16(4): 101-107.

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参考文献 16

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系统参数	数值
电网电压u_g/V	150
额定功率P_s/W	1 500
额定频率f_s/Hz	50
极对数p	3
定子电阻R_s/Ω	4.57
定子漏感L_σs/mH	10.83
转子电阻R_r/Ω	3.228
转子漏感L_σr/mH	10.83
互感L_m/mH	214.57
定转子匝比k	3.36
直流母线电压U_dc/V	100

基于转子电流模型参考自适应的双馈电机无位置传感器预测功率控制

Position Sensorless Predictive Power Control of Doubly-fed Induction Generator Based on Rotor Current Model Reference Adaptive System

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