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机构地区:[1]天津大学电气与自动化工程学院,天津300072 [2]宁夏大学物理与电子电气工程学院,银川750021
出 处:《电工技术学报》2016年第21期203-211,共9页Transactions of China Electrotechnical Society
摘 要:实现对永磁同步电机调速系统高性能控制的基础是准确的数学模型和电机参数,其中电感参数对电机的稳态和动态运行性能影响较大,而对于内置式永磁同步电机而言电感除了受凸极结构影响之外,还受磁路饱和等因素的影响。考虑到定子电流引起的磁路饱和效应与交叉耦合效应对电感的影响,基于矢量控制技术分别提出了d轴和q轴电感旋转辨识新算法,即d轴复合电流激励法和转矩调整法。为了提高电感辨识准确度,还采用基于电压误差曲线的补偿算法对逆变器非线性因素引起的输出电压误差进行了补偿。最后在电机控制实验平台上通过实验验证了提出的电感辨识算法的可行性和有效性。The accurate mathematical model and parameters of an IPMSM( Interior Permanent Magnet Synchronous Motor) are the basis which is required for high performance control. The steady-state and dynamic performance of an IPMSM are greatly affected by d-axis and q-axis inductance. For an IPMSM,inductance is not only influenced by the salient pole structure, but also by factors like the magnetic circuit saturation and so on. Moreover,considering the influence of magnetic circuit saturation effect and cross coupling effect caused by the stator current,novel d-axis and q-axis inductance identification algorithms based on vector control technique,namely d-axis composite current excitation algorithm and torque adjustment algorithm, are proposed in this paper. The inductance identification procedure is implemented under rotating state of an IPMSM. Furthermore,in order to improve accuracy of inductance identification results,a compensation strategy based on phase voltage error curve is used to compensate the output voltage error caused by nonlinear factors of an inverter. Finally,inductance identification experiments have been made on an IPMSM control platform, and the feasibility and availability of identification algorithms proposed are validated by experimental results.
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