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Induction motor servo drive with adaptive rotor time-constantestimation

机译:具有自适应转子时间常数的感应电动机伺服驱动器

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摘要

An indirect filed-oriented induction motor (IM) position servo drive with adaptive rotor time-constant estimation and an on-line trained neural network controller is presented. First, the rotor time-constant is estimated real-time on the basis of the model reference adaptive system (MRAS) theory. Next, a linear model-following controller (LMFC) is designed according to the estimated plant model to allow the state responses of the plant to follow the reference model. Then an augmented signal generated from the proposed neural network controller, whose connective weights are trained on-line according to the model-following error of the states, is added to the LMFC system to preserve a favorable model-following characteristic under various operating conditions
机译:提出了一种具有自适应转子时间常数估计的间接定向感应电动机(IM)位置伺服驱动器和在线训练的神经网络控制器。首先,根据模型参考自适应系统(MRAS)理论实时估计转子的时间常数。接下来,根据估计的工厂模型设计线性模型跟随控制器(LMFC),以使工厂的状态响应遵循参考模型。然后,将所提出的神经网络控制器生成的增强信号添加到LMFC系统中,以根据状态的模型跟随误差对其连接权重进行在线训练,以增强其在各种操作条件下的模型跟随特性

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