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Adaptive proportional-integral speed controller for direct torque control of induction motor using neural networks

机译:自适应比例积分速度控制器,用于基于神经网络的感应电动机直接转矩控制

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摘要

The design and implementation of an adaptive neural network based proportional-integral controller (NNPIC) were carried out on the direct torque control (DTC) system. The proposed controller consists of neural network and projection algorithm, in order to tune its parameters adaptively online under environmental variations. The experimental results proved that the performance of the proposed controller was quite better than the conventional PI controller by the criterion, root-mean-square-error (RMSE).
机译:在直接转矩控制(DTC)系统上进行了基于自适应神经网络的比例积分控制器(NNPIC)的设计与实现。所提出的控制器由神经网络和投影算法组成,以便在环境变化下自适应地在线调整其参数。实验结果证明,根据均方根误差(RMSE)准则,该控制器的性能要比常规PI控制器好得多。

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