电工技术学报  2017, Vol. 32 Issue (3): 97-104    DOI:
电机与电器 |
基于空间矢量调制的感应电机无速度传感器模型预测磁链控制
张虎, 张永昌, 夏波, 杨海涛
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
Speed Sensorless Model Predictive Flux Control of Induction Motor Drives Based on Space Vector Modulation
Zhang Hu, Zhang Yongchang, Xia Bo, Yang Haitao
Power Electronics and Motor Drives Engineering Research Center of Beijing North China University of Technology Beijing 100144 China
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摘要 传统的模型预测控制(MPC)以电磁转矩和定子磁链的幅值为控制变量,在目标函数中需要设计一个权重系数,而目前尚无完善的理论来设计该权重系数,多采用试凑的方法得到,从而限制了MPC在实际工业中的应用。通过解析推导感应电机的内部关系,将定子磁链幅值与转矩的控制转换为对一个等效定子磁链矢量的控制,提出了模型预测磁链控制(MPFC)的解决方案,从而避开了传统MPC中权重系数设计困难的难题,降低了算法复杂度。为提高感应电机控制系统的实用性,将MPFC与速度自适应全阶观测器相结合实现了无速度传感器运行,进一步采用空间矢量调制(SVM)来得到驱动脉冲,提高了电机的稳态性能和低速带载能力。在两电平感应电机仿真与实验平台上进行了验证,结果表明该文提出的感应电机无速度传感器MPFC在宽速范围内具有良好的动静态性能。
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张虎
张永昌
夏波
杨海涛
关键词 模型预测磁链控制 权重系数 无速度传感器 空间矢量调制    
Abstract:In conventional model predictive control (MPC), the torque and the stator flux amplitude are selected as the control variables, which require a weighting factor in the cost function. However, there is no mature theoretical guidance to solve the problem of weighting factor tuning and most existing solution is based on the error and trial procedure, restricting the application of MPC in industry applications. This paper proposes a solution of model predictive flux control (MPFC) by investigating the inherent relationship in the machine and converting the control of torque and stator flux to an equivalent stator flux vector. Hence, the control complexity is reduced. To improve the practicality of the system, this paper combines speed adaptive full order observer with MPFC to achieve sensorelss operation. Furthermore, space vector modulation (SVM) is used to generate the gating pulses, which improves the steady state performance and low speed operation ability with load. The proposed method is verified on a two-level inverter-fed induction motor drive by using simulation and experimental tests. The results confirm that the proposed sensorless MPFC has good steady state and dynamic performance over a wide speed range.
Key wordsModel predictive flux control    weighting factor    sensorless    space vector modulation   
收稿日期: 2016-08-10      出版日期: 2017-02-27
PACS: TM351  
基金资助:国家自然科学基金(51577003)、北京市自然科学基金(3162012)和北京市科技新星计划(XX2013001)资助项目。
通讯作者: 张永昌 男,1982年生,博士,研究员,博士生导师,研究方向为模型预测控制在电力电子与电机控制中的应用。E-mail:zyc@ncut.edu.cn (通信作者)   
作者简介: 夏 波 男,1990年生,硕士研究生,研究方向为异步电机宽速度范围模型预测控制。E-mail:mis_xb@163.com
引用本文:   
张虎, 张永昌, 夏波, 杨海涛. 基于空间矢量调制的感应电机无速度传感器模型预测磁链控制[J]. 电工技术学报, 2017, 32(3): 97-104. Zhang Hu, Zhang Yongchang, Xia Bo, Yang Haitao. Speed Sensorless Model Predictive Flux Control of Induction Motor Drives Based on Space Vector Modulation. Transactions of China Electrotechnical Society, 2017, 32(3): 97-104.
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https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I3/97