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Sensorless finite-control set model predictive control for IPMSM drives

机译:IPMSM驱动器的无传感器有限控制集模型预测控制

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摘要

This paper investigates the feasibility of a sensorless field oriented control (FOC) combined with a finite control set model predictive current control (FCS-MPC) for an interior permanent magnet synchronous motor (IPMSM). The use of a FCS-MPC makes the implementation of most of the existing sensorless techniques difficult due to the lack of a modulator. The proposed sensorless algorithm exploits the saliency of the motor and the intrinsic higher current ripple of the FCS-MPC to extract position and speed information using a model-based approach. This method does not require the injection of additional voltage vectors or the periodic interruption of the control algorithm and consequently it has no impact on the performance of the current control. The proposed algorithm has been tested in simulation and validated on an experimental set-up, showing promising results.
机译:本文研究了将无传感器磁场定向控制(FOC)与有限控制集模型预测电流控制(FCS-MPC)结合使用的内部永磁同步电动机(IPMSM)的可行性。由于缺少调制器,FCS-MPC的使用使大多数现有的无传感器技术难以实现。提出的无传感器算法利用电机的显着性和FCS-MPC固有的较高电流纹波,使用基于模型的方法来提取位置和速度信息。该方法不需要注入额外的电压矢量或控制算法的周期性中断,因此对电流控制的性能没有影响。所提出的算法已在仿真中进行了测试,并在实验装置上得到了验证,显示出令人鼓舞的结果。

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