Position Estimation Accuracy Improvement for SPMSM Sensorless Drives by Adaptive Complex-Coefficient Filter and DPLL
Position Estimation Accuracy Improvement for SPMSM Sensorless Drives by Adaptive Complex-Coefficient Filter and DPLL
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DOI：
10.1109/tia.2022.3204956
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发表时间：
2023-01
影响因子：
4.4
通讯作者：
Zhe Chen;Xuxuan Zhang;Abd Alrahman Dawara;Shouluo Chen;Hang Zhang;Guangzhao Luo
中科院分区：
文献类型：
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作者：
Zhe Chen;Xuxuan Zhang;Abd Alrahman Dawara;Shouluo Chen;Hang Zhang;Guangzhao Luo
提出了一种改进的基于高频脉动方波信号注入的表面贴装式永磁同步电机无位置传感器控制方法。传统的无位置传感器方法中，由于采用低通滤波器，导致相位延迟，从而降低了系统的动态性能。为了消除这种缺陷，该方法采用了自适应复系数滤波器（ACCF），不造成相位延迟和补偿技术的使用是避免的。此外，利用双锁相环（DPLL）提取准确的转子位置，消除动态位置估计误差。建立了ACCF的小信号模型，并通过对ACCF和DPLL的传递函数的综合分析，给出了ACCF和DPLL参数选择的统一准则。所提出的方法已经进行了仿真和实验，其中Higale平台与0.2千瓦的SPMSM采用验证所提出的方法的性能。
This paper presents an improved high-frequency pulsating square-wave signal injection-based sensorless control for surface-mounted permanent-magnet synchronous machines (SPMSM). The use of low pass filter in the traditional sensorless method results in phase delay and, consequently, degrades the dynamic behavior. In order to eliminate such drawback, the proposed method adopts an adaptive complex-coefficient filter (ACCF) that does not cause phase delay and the use of compensation technique is avoided. Moreover, a dual-phase-locked loop (DPLL) is utilized to extract the accurate rotor position and eliminates the position estimation error in dynamic state. The small signal model of ACCF is build, and then the unified parameter selection guideline for both ACCF and DPLL is given in terms of comprehensive transfer function analysis. The proposed method has been carried out by both simulation and experiment, where a Higale platform with a 0.2-kW SPMSM is adopted to verify the performance of proposed method.