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Simplified Model Predicted Current Control Method for speed control of Non-Silent Permanent Magnet Synchronous Motors

机译:非静音永磁同步电动机速度控制的简化模型预测电流控制方法

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摘要

With the advancement in semiconductor technology, the speed control of ac motor drive becomes easy. The development of the microprocessor has encouraged the research of the most efficient and economical speed control algorithms. A model predicted current control method is designed and used the discrete-time model of output state variable of the motor drive to predict the future value of output state variable across all the voltage vector generated by voltage source inverter. The squared cost function method is utilized to evaluate the current error. As compared to the conventional cascaded control method, the Model Predicted Control has better performance. The Simulation model is designed in Matlab/Simulink 2018b, which shows the excellent dynamic and steady-state performance of the control algorithm. The simulation results are demonstrated to verify the proposed method.
机译:随着半导体技术的进步,交流电动机驱动器的速度控制变得容易。微处理器的发展鼓励了最有效,最经济的速度控制算法的研究。设计了模型预测电流控制方法,并使用电动机驱动器输出状态变量的离散时间模型来预测电压源逆变器生成的所有电压矢量上输出状态变量的未来值。平方成本函数法用于评估当前误差。与传统的级联控制方法相比,模型预测控制具有更好的性能。在Matlab / Simulink 2018b中设计了仿真模型,该模型显示了控制算法的出色动态和稳态性能。仿真结果证明了该方法的有效性。

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