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Real time estimation of parameters for controlling and monitoring permanent magnet synchronous motors

机译:实时估计用于控制和监视永磁同步电动机的参数

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摘要

In permanent magnet synchronous motor (PMSM) drives, accurate knowledge of machine parameters has advantage in its control and/or monitoring its condition. This paper provides an adaptation method to determine the machine parameters. The machine's phase resistance, phase inductance and back-emf constant are updated continuously. The online adaptation helps tracking any dynamic change in the motor parameters due to environmental, aging and loading condition. The motor parameters used in the controller can be updated to enhance the performance. This method can also be used for end of line motor parameter calibration in mass production and condition monitoring of drive systems. The method eliminates the need for a priori knowledge of the machine parameters making the controller robust for high performance operation. Simulation and experiment demonstrate the validity and usefulness of the proposed algorithm for PMSM drive.
机译:在永磁同步电动机(PMSM)驱动器中,准确了解机器参数在控制和/或监视其状况方面具有优势。本文提供了一种自适应方法来确定机器参数。机器的相电阻,相电感和反电动势常数会不断更新。在线调整有助于跟踪由于环境,老化和负载条件而导致的电动机参数的任何动态变化。可以更新控制器中使用的电机参数以增强性能。该方法还可用于批量生产中的线下电动机参数校准以及驱动系统的状态监视。该方法消除了对机器参数的先验知识的需要,从而使得控制器对于高性能操作是鲁棒的。仿真和实验证明了所提算法对永磁同步电机驱动的有效性和实用性。

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