首页|基于人工智能的电气自动化控制系统优化研究

基于人工智能的电气自动化控制系统优化研究

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随着人工智能技术的快速发展,将其应用于电气自动化控制系统已成为一个重要的研究方向.本文基于人工智能技术,对电气自动化控制系统进行优化研究.分析了电气自动化控制系统的特点和存在的问题;其次,介绍了人工智能技术在电气自动化控制系统中的应用现状;提出了基于人工智能的电气自动化控制系统优化方法,包括基于神经网络的控制策略优化、基于模糊逻辑的智能决策优化和基于遗传算法的参数优化;通过仿真实验验证了所提出方法的有效性.研究结果表明,基于人工智能的优化方法能够有效提高电气自动化控制系统的控制性能和智能化水平.
Research on Optimization of Electrical Automation Control System Based on Artificial Intelligence
With the rapid development of artificial intelligence technology,applying it to electrical automation control systems has become an important research direction.This article conducts an optimization study of electrical automation control systems based on artificial intelligence technology.Firstly,it analyzes the characteristics and existing problems of electrical automation control systems.Secondly,it introduces the current application status of artificial intelligence technology in electrical automation control systems.Then,it proposes optimization methods for electrical automation control systems based on artificial intelligence,including control strategy optimization based on neural networks,intelligent decision-making optimization based on fuzzy logic,and parameter optimization based on genetic algorithms.The effectiveness of the proposed methods is verified through simulation experiments.The research results show that the optimization methods based on artificial intelligence can effectively improve the control performance and intelligence level of electrical automation control systems.

artificial intelligenceelectrical automationcontrol systemneural networkfuzzy logicgenetic algorithm

刘永豹、王婷、范婕

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铜川职业技术学院,陕西铜川 727031

人工智能 电气自动化 控制系统 神经网络 模糊逻辑 遗传算法

2024

仪器仪表用户
天津仪表集团有限公司,中国仪器仪表学会节能技术应用分会

仪器仪表用户

影响因子:0.255
ISSN:1671-1041
年,卷(期):2024.31(10)
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