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An EKF-based algorithm for automatic tuning and control of electrical drives

机译:基于EKF的自动调谐和控制电气驱动器算法

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The paper presents a DSP-based procedure for the automatic tuning of speed and position controllers of electrical drives. The procedure is based on an identification algorithm (namely an extended Kalman filter) for the determination of the parameters of the system model, assumed as a first-order lag defined by its mechanical constant. The algorithm, which is executed at the start-up of the drive, transfers its results to another procedure which exploits the identified parameters for the optimal tuning of the drive motion controllers. The tuning is carried out off-line in discrete time. Theoretical and experimental results of the chosen tuning procedure are reported. For the design and testing of both the identification and regulation algorithm a simple PC-based tool has been developed, which provides the hardware support to command different actuators, together with the required software facilities.
机译:本文提出了一种基于DSP的过程,用于自动调谐电气驱动器的速度和位置控制器。该过程基于识别算法(即扩展Kalman滤波器),用于确定系统模型的参数,假定为由其机械常数定义的一阶滞后。在驱动器的启动时执行的算法将其结果传送到用于利用用于最佳调谐的识别的参数的另一过程进行驱动运动控制器。调谐在离散时间内离线进行。报道了所选调谐程序的理论和实验结果。对于识别和调节算法的设计和测试,已经开发了简单的基于PC的工具,它提供了与所需的软件设施一起使用不同的执行器的硬件支持。

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