摘要
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。
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.
作者
刘永豹
王婷
范婕
Liu Yongbao;Wang Ting;Fan Jie(Tongchuan Vocational and Technical College,Tongchuan,Shaanxi,China,727031)
出处
《仪器仪表用户》
2024年第10期1-3,6,共4页
Instrumentation
关键词
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
artificial intelligence
electrical automation
control system
neural network
fuzzy logic
genetic algorithm
