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Sensorless Operation of an Inset PM Bearingless Motor Implemented by the Combination Approach of MRAS and HF Signal Injection

机译:MRAS和HF信号注入相结合的方法实现了嵌入式永磁无轴承电动机的无传感器运行

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摘要

On the basis of analyzing the mathematic model of high frequency signal injection and Model Reference Adaptive System, a novel rotor position estimation scheme using the combined rotor position self-sensing method was suggested, which will meet the need of sensorless operation for an inset permanent magnet type bearingless motor. The rotor position detecting principle, such as the saliency-tracking technology with the injection of high-frequency carrier signal at low speed, the observer estimation at high speed, the smooth switching of these two detecting schemes for rotor position estimation, and their implementation technique were all discussed in this paper. And then, the sensorless vector control system of an inset permanent magnet type bearingless motor was set up based on the aforementioned position estimation approach. Simulation study demonstrates that the proposed combined self-sensing method is capable of precisely estimating the rotor space position in the full speed regions for the inset permanent magnet type bearingless motor and is capable of achieving stable sensorless suspension operation at the low or high speeds with heavy load disturbance.
机译:在分析高频信号注入数学模型和模型参考自适应系统的基础上,提出了一种新的结合转子位置自感应方法的转子位置估计方案,可以满足嵌入式永磁体无传感器运行的需要。型无轴承电动机。转子位置检测原理,例如低速注入高频载波信号的显着性跟踪技术,高速观察者估计,这两种用于转子位置估计的检测方案的平滑切换及其实现技术在本文中都进行了讨论。然后,基于上述位置估计方法,建立了嵌入式永磁型无轴承电动机的无传感器矢量控制系统。仿真研究表明,提出的组合式自感应方法能够精确估计嵌入式永磁型无轴承电动机在全速区域的转子空间位置,并且能够在低速或高速重载下实现稳定的无传感器悬架运行。负载干扰。

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