基于同步旋转坐标系下矢量旋转的新型磁链算法

发布时间：2018-05-12 18:30

  本文选题：磁链辨识 + 椭圆形旋转磁场　； 参考：《中国电机工程学报》2016年05期

【摘要】：传统电压型磁链算法在对电机内普遍存在的椭圆形磁场磁链进行辨识时存在稳态幅值相位误差。为此文中提出两种新型磁链算法,新算法基于反电动势矢量与磁链矢量的关系得到。通过在同步旋转坐标系下低通滤波消除积分漂移;通过旋转矢量,实现积分作用。新算法结构简单,易于工程实现。仿真结果表明:新算法有效消除了积分漂移,算法1可以对圆形磁场磁链进行准确辨识;算法2可以对椭圆形磁场磁链进行准确的辨识;对于椭圆形磁场磁链,算法1辨识出其与电机转向相同的圆形分量。将新算法应用于一台表贴式永磁同步电机无位置传感器调速系统的转子位置估算,利用数字信号处理器TMS320F2812DSP对其进行了数字化实现。系统在稳态与电机转速突变时具有良好的静态、动态特性,证明了新算法的有效性和实际可应用性。
[Abstract]:The traditional voltage type magnetic flux linkage algorithm has the steady-state amplitude phase error when identifying the elliptical magnetic flux linkage in the motor. In this paper, two new magnetic chain algorithms are proposed. The new algorithm is based on the relationship between the anti electromotive force vector and the magnetic chain vector. The new algorithm has simple structure and easy to implement. The simulation results show that the new algorithm effectively eliminates the integral drift. Algorithm 1 can identify the circular magnetic flux linkage accurately; algorithm 2 can identify the elliptical magnetic field magnetic chain accurately; for the elliptical magnetic field magnetic chain, the algorithm 1 identifies its electricity and electricity. The new algorithm is used for the same circular component. The new algorithm is applied to the rotor position estimation of a permanent magnet synchronous motor speed control system with a permanent magnet synchronous motor. The digital signal processor TMS320F2812DSP is used to digitize it. The system has good static and dynamic characteristics when the steady state and motor speed change, and the new calculation is proved. The validity of the method and the practical applicability of the method.

【作者单位】： 西安交通大学电气工程学院;
【分类号】：TM301

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