基于神经网络的机器人控制精度优化方法与技术研究

doi:10.16039/j.cnki.cn22-1249.2019.05.009

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摘要

针对工业生产过程中机器人操作时控制精度不高的问题，采用具有自学习、自适应的智能控制手段——神经网络进行优化控制，将整个操作过程的控制精度由被训练后的网络来优化，从而提高控制精度，提高效率。

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	宫立达
	李智敏

关键词: 机器人神经网络智能控制精度

Abstract:

Aiming at the problem of low control precision during robot operation in industrial production process, the self-learning and adaptive intelligent control method--the neural network is used for optimal control, and the control precision of the whole operation process is optimized by the trained network. Thereby improving control accuracy and improving efficiency.

Key words: robot neural network intelligent control precision

出版日期: 2019-05-25 发布日期: 2019-05-25 整期出版日期: 2019-05-25

ZTFLH:

TG68

引用本文:

宫立达, 李智敏. 基于神经网络的机器人控制精度优化方法与技术研究 [J]. 吉林化工学院学报, 2019, 36(5): 35-37.
GONG Lida, LI Zhimin. Research on Optimization Method and Technology of Robot Control Precision Based on Neural Network . Journal of Jilin Institute of Chemical Technology, 2019, 36(5): 35-37.

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http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2019.05.009 或 http://xuebao.jlict.edu.cn/CN/Y2019/V36/I5/35

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