Model-free adaptive chaos control for the boost converter

Ning-zhou Li, Yi-xiang Jiang, Xiao-juan Wei
{"title":"Model-free adaptive chaos control for the boost converter","authors":"Ning-zhou Li, Yi-xiang Jiang, Xiao-juan Wei","doi":"10.1177/00202940231194117","DOIUrl":null,"url":null,"abstract":"In order to solve the dynamic analysis and chaotic motion control problems of the current-mode-controlled Boost converter system, a state equation model in the continuous current mode is established. The evolutionary path of the periodic motion of the system through the doubling bifurcation to the chaotic motion is analyzed by the bifurcation diagram, Poincaré sections and phase portraits. Then, according to the fundamental principle of the resonant parametric perturbation (RPP) method, a controller is designed based on the model-free adaptive control (MFAC) method to output the perturbation amplitude, and the disturbance quantity is calculated according to the perturbation amplitude. By adding a small amplitude disturbance to the controllable parameter of the controlled system, the chaotic motion of the system is guided to expected periodic orbit. The advantage of this method is that no precise mathematical model (PMM) of the system is required. At the same time, the design of the controller is simple and easy to implement.","PeriodicalId":18375,"journal":{"name":"Measurement and Control","volume":"444 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00202940231194117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to solve the dynamic analysis and chaotic motion control problems of the current-mode-controlled Boost converter system, a state equation model in the continuous current mode is established. The evolutionary path of the periodic motion of the system through the doubling bifurcation to the chaotic motion is analyzed by the bifurcation diagram, Poincaré sections and phase portraits. Then, according to the fundamental principle of the resonant parametric perturbation (RPP) method, a controller is designed based on the model-free adaptive control (MFAC) method to output the perturbation amplitude, and the disturbance quantity is calculated according to the perturbation amplitude. By adding a small amplitude disturbance to the controllable parameter of the controlled system, the chaotic motion of the system is guided to expected periodic orbit. The advantage of this method is that no precise mathematical model (PMM) of the system is required. At the same time, the design of the controller is simple and easy to implement.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
升压转换器的无模型自适应混沌控制
为了解决电流模式控制 Boost 变换器系统的动态分析和混沌运动控制问题,建立了连续电流模式下的状态方程模型。通过分岔图、Poincaré 截面和相位肖像分析了系统周期运动经过倍增分岔到混沌运动的演化路径。然后,根据共振参数扰动(RPP)方法的基本原理,设计了基于无模型自适应控制(MFAC)方法的控制器来输出扰动振幅,并根据扰动振幅计算扰动量。通过向受控系统的可控参数添加小振幅扰动,引导系统的混沌运动进入预期的周期轨道。这种方法的优点是不需要精确的系统数学模型(PMM)。同时,控制器的设计简单,易于实现。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Train timetable and stopping plan generation based on cross-line passenger flow in high-speed railway network Enhancing water pressure sensing in challenging environments: A strain gage technology integrated with deep learning approach Photovoltaic MPPT control and improvement strategies considering environmental factors: based on PID-type sliding mode control and improved grey wolf optimization Tracking controller design for quadrotor UAVs under external disturbances using a high-order sliding mode-assisted disturbance observer Evaluating vehicle trafficability on soft ground using wheel force information
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1