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Identifying dynamic model parameters of a servo drive

机译:识别伺服驱动器的动态模型参数

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An off-line identification method based on the least-squares approximation technique is applied for identifying of electromechanical parameters of a servo drive model. The proposed identification method solves a problem of experimental data automatic obtaining with angular velocity limitation and angle limitation. The developed algorithm can be automatically adjusted during its work to achieve high accuracy of the estimated parameters. The paper provides an example of algorithm work with a servo drive of a tracking telescope. The developed algorithm is of interest for developers of electromechanical systems with limitation of motion.
机译:基于最小二乘近似技术的离线识别方法应用用于识别伺服驱动模型的机电参数。所提出的识别方法解决了具有角速度限制和角度限制的实验数据自动获得的问题。在其工作期间可以自动调整发达的算法,以实现估计参数的高精度。本文提供了一种算法的示例,其适用于跟踪望远镜的伺服驱动器。发达的算法对于具有运动限制的机电系统的开发人员感兴趣。

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