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Optimized Discrete Model Based Model Reference Adaptive System for Speed Sensorless Control

机译:基于最优离散模型的无速度传感器模型参考自适应系统

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摘要

In this paper, an improved inductive motor model reference adaptive system (MRAS) is proposed based on an optimized full-order adaptive observer. By using of an optimized discrete model of induction motor, the proposed method can be applied to the condition of low switching frequency. The rotor speed is calculated by an adaptive scheme and used as the feedback signal for vector control. The simulation results show that the modified version of MRAS enables accurate and stable performance of speed sensorless control.
机译:本文提出了一种基于优化的全阶自适应观测器的改进的感应电动机模型参考自适应系统(MRAS)。通过使用优化的异步电动机离散模型,该方法可应用于低开关频率的情况。转子速度通过自适应方案计算,并用作矢量控制的反馈信号。仿真结果表明,改进的MRAS版本可以实现无速度传感器控制的准确和稳定的性能。

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