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基于旋转注入的同步磁阻电机电感辨识方案 被引量:4

Inductance Identification Scheme of Synchronous Reluctance Motor Based on Rotary Injection
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摘要 同步磁阻电机(SynRM)运行中电感随电流变化较大,若对其线性化将产生很大的误差,有必要先进行电感辨识。由于电机转子结构的凸极性较大,电流中易产生较大的谐波分量会影响辨识的精度。针对谐波分量导致的误差问题,本文通过旋转电压注入法,提出一种基于定向旋转变换的信号幅值解调方案,该方案无需使用滤波器,避免了滤波器导致辨识结果失真的问题。同时,采用递推离散傅里叶变换(DFT)算法计算静止轴系中的电流正负序分量幅值,该算法运算量小,易于数字实现。最后在5.5kW SynRM实验平台上进行实验,结果证明本文所提方案具有较高的检测精度。 The inductance of synchronous reluctance motor (SynRM) varies with current in operation. If the inductor is linearized during the control process, it will cause a large error on the result. Therefore, it is necessary to identify the inductance of the SynRM. Because the rotor structure of the motor has strong salient polarity, it is easy to genarate the large harmonic components in the current, which will affect the accuracy of inductance identification. Aiming at the error caused by harmonic components, a signal amplitude demodulation scheme based on directional rotation transformation by injecting the rotating voltage is proposed in this paper. The scheme eliminates the need to use filters and avoids the problem of distortion of the identification result due to the filter. At the same time, the recursive DFT is used in the scheme to calculate the amplitude of positive and negative sequence currents in the stationary shafting. The algorithm has the advantages of small computation and easy digital implementation. Finally, the comparative verification experiments were carried out on the 5.5kW SynRM experimental platform. The experimental results show that the experimental process does not depend on the rotor position estimation, and the proposed scheme has higher detection accuracy.
作者 杨淑英 刘威 李浩源 刘世园 张兴 Yang Shuying;Liu Wei;Li Haoyuan;Liu Shiyuan;Zhang Xing(College of Electrical Engineering and Automation Hefei University of Technology,Hefei 230009 China)
出处 《电工技术学报》 EI CSCD 北大核心 2019年第A01期97-104,共8页 Transactions of China Electrotechnical Society
关键词 同步磁阻电机 信号注入 电感辨识 定向旋转变换 Synchronous reluctance motor signal injection inductance identification directional rotation transformation
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