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机构地区:[1]西安交通大学电气工程学院,陕西省西安市710049
出 处:《中国电机工程学报》2016年第5期1421-1429,共9页Proceedings of the CSEE
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。Traditional flux estimation algorithms based on the voltage model would introduce magnitude and phase errors in steady state in the elliptical rotating magnetic field which is universally existed in motor. This paper presented two novel flux estimation algorithms based on the relationship between the back electromotive force (EMF) vector and the flux vector. The integration drift problems were solved by means of low pass filtering under synchronously rotating reference frame. And the integral effect was realized by rotating the filtered vector. Simulation results show that, the new algorithms can effectively eliminate the integration drift. The first algorithm can estimate flux exactly in the round rotating magnetic field, and the second algorithm can estimate flux exactly in the elliptical rotating magnetic field. The round rotating flux component which has the same rotation direction with motor will be obtained by the first algorithm in the elliptical rotating field. The new algorithms had been used for rotor position estimation in position sensorless vector control of a surface-mounted permanent magnet synchronous motor (SPMSM). The experiment was implemented using the digital signal processor TMS320F2812DSP. The validity and applicability of the new algorithms are Verified by the good steady state performance as well as dynamic performance when the motor speed suddenly changed.
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