履带式机器人的神经网络控制系统

2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW) Pub Date : 2015-05-07 DOI:10.1109/EICONRUSNW.2015.7102268

T. Kuzmina, G. Dubrovskiy

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引用次数: 1

摘要

本文研究了履带式机器人神经网络控制系统的设计。控制系统采用黑线跟踪算法，利用两个红外反射传感器对黑线进行识别。神经网络调节器在Matlab/Simulink中使用实时Windows目标工具箱进行设计。以神经网络调节器训练为目的，利用带有模糊调节器的机器人的路线通过结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural network control system for a tracked robot

In this paper the designing of a tracked robot's neural network control system is considered. The control system embodies a black line following algorithm, which is using two infrared reflector sensors for black line recognition. The neural network regulator is designed in Matlab/Simulink using the Real-Time Windows Target Toolbox. With the purpose of the neural network regulator training, course passage results of the robot with a fuzzy regulator are used.

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来源期刊

2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

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