Real-Time Implementation of an Optimized Fractional Sliding mode Controller on the Quanser-Aero helicopter

S. Labdai, L. Chrifi-Alaoui, S. Drid, L. Delahoche, P. Bussy
{"title":"Real-Time Implementation of an Optimized Fractional Sliding mode Controller on the Quanser-Aero helicopter","authors":"S. Labdai, L. Chrifi-Alaoui, S. Drid, L. Delahoche, P. Bussy","doi":"10.1109/ICCAD49821.2020.9260546","DOIUrl":null,"url":null,"abstract":"This paper examines the performance of an optimized fractional sliding mode controller on the two degrees of freedom (2-DOF) Quanser AERO helicopter testbed. In order to reduce the chattering inherited from the classical sliding mode, the sliding surface will be chosen in a fractional hyperplane. We will prove via a rigorous Lyapunov-based analysis the convergence of the Quanser aero angles to the desired ones, and we will guarantee the robustness against external perturbations. The surface fractional order and the designed controller parameters and will be chosen via the genetic algorithm optimization method, the cost function will be chosen in order to minimize both the chattering and the tracking errors. The results of this work will be illustrated through numerical simulations and experimental application on the Quanser AERO Helicopter testbed.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD49821.2020.9260546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper examines the performance of an optimized fractional sliding mode controller on the two degrees of freedom (2-DOF) Quanser AERO helicopter testbed. In order to reduce the chattering inherited from the classical sliding mode, the sliding surface will be chosen in a fractional hyperplane. We will prove via a rigorous Lyapunov-based analysis the convergence of the Quanser aero angles to the desired ones, and we will guarantee the robustness against external perturbations. The surface fractional order and the designed controller parameters and will be chosen via the genetic algorithm optimization method, the cost function will be chosen in order to minimize both the chattering and the tracking errors. The results of this work will be illustrated through numerical simulations and experimental application on the Quanser AERO Helicopter testbed.
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
一种优化分数滑模控制器在Quanser-Aero直升机上的实时实现
本文研究了优化后的分数阶滑模控制器在全色AERO直升机2自由度试验台上的性能。为了减少经典滑模所带来的抖振,滑模面选择在分数阶超平面上。我们将通过严格的基于李雅普诺夫的分析来证明qanser航空角对期望角的收敛性,并保证对外部扰动的鲁棒性。通过遗传算法优化方法选择表面分数阶数和所设计的控制器参数,选择代价函数以最小化抖振和跟踪误差。本文的研究结果将通过数值模拟和全色AERO直升机试验台的实验应用得到验证。
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
A New Functional Observer Design of linear Singular Systems with an additional unknown input and variable time delay in Time and Frequency domains Offline parametric Identification of a reduce ARX-Laguerre multimodel Adaptive Snake Robot Locomotion in Different Environments Novel Online Parameter Identification Method for Unsaturated Wound-Rotor Induction Machine [Copyright notice]
×
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