Robust Control of Full Bridge Inverter Based on Improved High-Order Sliding Mode Controller

Huaying Zhang, Yan Li, Zhenzi Wang, Jie Yang, Junwei Cao
{"title":"Robust Control of Full Bridge Inverter Based on Improved High-Order Sliding Mode Controller","authors":"Huaying Zhang, Yan Li, Zhenzi Wang, Jie Yang, Junwei Cao","doi":"10.1109/ICPES56491.2022.10072535","DOIUrl":null,"url":null,"abstract":"It is difficult to adjust the parameters for the controller in the stability control of a full bridge inverter due to its unknown upper bound. To solve this problem, an improved second-order sliding mode twisting algorithm based on adaptive parameter has been proposed and simulated. By adding the adaptive parameter method into the original second-order sliding mode twisting controller, improved controller not only automatically regulates its parameters according to states of system but also fully compensates the uncertainty of upper bound. The simulation in the output control of full bridge inverter illustrates that the system can reach the target value of voltage and current in finite time. Compared with original second-order sliding mode twisting algorithm, this improved algorithm, though under the existence of unknown upper bound, can effetely guarantee the finite-time stability of the system.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Power and Energy Systems (ICPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPES56491.2022.10072535","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

It is difficult to adjust the parameters for the controller in the stability control of a full bridge inverter due to its unknown upper bound. To solve this problem, an improved second-order sliding mode twisting algorithm based on adaptive parameter has been proposed and simulated. By adding the adaptive parameter method into the original second-order sliding mode twisting controller, improved controller not only automatically regulates its parameters according to states of system but also fully compensates the uncertainty of upper bound. The simulation in the output control of full bridge inverter illustrates that the system can reach the target value of voltage and current in finite time. Compared with original second-order sliding mode twisting algorithm, this improved algorithm, though under the existence of unknown upper bound, can effetely guarantee the finite-time stability of the system.
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
基于改进高阶滑模控制器的全桥逆变器鲁棒控制
在全桥逆变器的稳定控制中,由于其上界未知,给控制器参数的调整带来困难。针对这一问题,提出了一种改进的基于自适应参数的二阶滑模扭转算法,并进行了仿真。通过在原有二阶滑模扭转控制器中加入自适应参数法,改进后的控制器不仅能根据系统状态自动调节参数,而且能充分补偿上界的不确定性。在全桥逆变器输出控制中的仿真表明,该系统能在有限时间内达到电压和电流的目标值。与原二阶滑模扭转算法相比,该改进算法在存在未知上界的情况下,能有效地保证系统的有限时间稳定性。
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
Optimal Scheduling Method for the Distribution Network Integrated with Multi-Energy Systems Considering Flexible Regulation Ability Methods for the Tower Fatigue Loads to Cumulative Based on Wind Direction Probabilistic Application of Thermal Resistance Dynamic Characteristics on High-Voltage Cable Ampacity Based on Field Circuit Coupling Method Residential Load Forecasting Based on CNN-LSTM and Non-uniform Quantization Application Scenario Analysis and Prospect of Electricity Emissions Factor
×
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