基于人工神经网络的直线管状永磁直流电动机实时速度控制

Ezgi Guney, M. Dursun, M. Demir
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引用次数: 3

摘要

本文提出了一种基于人工神经网络(ANN)的线性管状永磁直流电动机实时调速控制方法。首先,开发了一种新型的线性运动LTPMDCM原型。然后,设计了一种低成本的电机驱动器,以实现预期的快速响应和精确的位置控制。在MATLAB环境下开发的软件用于速度控制。通过该软件,实现了用人工神经网络对电机转速的实时控制。实验结果验证了所提控制系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial neural network based real time speed control of a linear tubular permanent magnet direct current motor
This paper presents a real-time speed control for a linear tubular permanent magnet direct current motor (LTPMDCM) by using artificial neural network (ANN). Firstly, a novel form of LTPMDCM prototype has been developed for linear motions. Then, a low cost motor drive has designed for expected rapid response and precise position control. Software developed in MATLAB environment is used for speed control. Through this software, real-time speed control of the motor with ANN has been performed. The effectiveness of the proposed control system is verified by experimental results and presented.
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