Experimental implementation of ANN based speed control for interior-type permanent magnet synchronous motors

M.A. Rahman, M. Hoque
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Abstract

This paper presents a laboratory implementation of a novel speed control scheme for an interior-type permanent magnet synchronous motor using a self-tuning artificial neural network. The newly devised artificial neural network control structure based on the inverse motor dynamics and nonlinear load characteristics has been realized in real-time using a digital signal processor controller board DS-1102.
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基于人工神经网络的内置式永磁同步电机转速控制实验实现
本文介绍了一种利用人工神经网络自整定的新型内置式永磁同步电机速度控制方案的实验室实现。利用DS-1102数字信号处理器控制器,实现了基于电机逆动力学和非线性负载特性的人工神经网络控制结构。
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