Computer-aided design of the fuzzy control system using the genetic algorithm

V. Meshcheryakov, L. Denisova
{"title":"Computer-aided design of the fuzzy control system using the genetic algorithm","authors":"V. Meshcheryakov, L. Denisova","doi":"10.1109/DYNAMICS.2016.7819000","DOIUrl":null,"url":null,"abstract":"This paper presents the computer-aided design procedure of the automatic control system (ACS) on the basis of fuzzy logic. The genetic algorithm based approach to design of the fuzzy control system on the chosen quality criterion is considered. The mathematical model of the fuzzy logic based pulse control system is suggested, that is developed with MATLAB/ Simulink/ Fuzzy Logic Toolbox. The results of the synthesis of the fuzzy logic based control systems derived using MATLAB / Global Optimization Toolbox are given. As a result two approaches to the fuzzy controller synthesis have been considered: (1) with adjustable membership functions, (2) with membership functions fixed by an expert and with adjustment of input and output scale factors. It is shown that the second approach is preferable to the first, because it is simpler to implement and reduces the time required for setting the controller parameters.","PeriodicalId":293543,"journal":{"name":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"92 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2016.7819000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper presents the computer-aided design procedure of the automatic control system (ACS) on the basis of fuzzy logic. The genetic algorithm based approach to design of the fuzzy control system on the chosen quality criterion is considered. The mathematical model of the fuzzy logic based pulse control system is suggested, that is developed with MATLAB/ Simulink/ Fuzzy Logic Toolbox. The results of the synthesis of the fuzzy logic based control systems derived using MATLAB / Global Optimization Toolbox are given. As a result two approaches to the fuzzy controller synthesis have been considered: (1) with adjustable membership functions, (2) with membership functions fixed by an expert and with adjustment of input and output scale factors. It is shown that the second approach is preferable to the first, because it is simpler to implement and reduces the time required for setting the controller parameters.
利用遗传算法对模糊控制系统进行计算机辅助设计
本文介绍了基于模糊逻辑的自动控制系统(ACS)的计算机辅助设计过程。提出了基于遗传算法的模糊控制系统设计方法。提出了基于模糊逻辑的脉冲控制系统的数学模型,并利用MATLAB/ Simulink/模糊逻辑工具箱进行了开发。给出了利用MATLAB /全局优化工具箱对基于模糊逻辑的控制系统进行综合的结果。因此,考虑了两种模糊控制器综合的方法:(1)具有可调节的隶属度函数,(2)由专家确定隶属度函数,并可调节输入和输出比例因子。结果表明,第二种方法优于第一种方法,因为它更容易实现并减少了设置控制器参数所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信