用DSP实现了一种人工神经网络对感应电机的控制

CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings Pub Date : 1997-05-25 DOI:10.1109/CCECE.1997.608251

M. Mohamadian, E. Nowicki, A. Chu, F. Ashrafzadeh, J. Salmon

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引用次数: 6

摘要

在基于德州仪器TMS320C30数字信号处理器(DSP)的系统上，实现了一种经过训练的神经网络控制器作为间接场定向控制器。研究了神经网络输出端的计算误差，并讨论了在DSP板上实现神经网络的一些实际问题。实验结果验证了该控制器的性能。

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DSP implementation of an artificial neural network for induction motor control

A neural network controller which is trained to perform as an indirect field oriented controller is implemented on a Texas Instruments TMS320C30 digital signal processor (DSP) based system. The computation error at the output of the neural network is investigated and some practical aspects of implementing the neural network on the DSP board is discussed. Experimental results are presented to demonstrate the performance of the controller.

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CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings

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