Optimal Model-Free Finite-Time Control Based on Terminal Sliding Mode for a Coaxial Rotor

IF 4.4 2区 地球科学 Q1 REMOTE SENSING Drones Pub Date : 2023-12-13 DOI:10.3390/drones7120706
Hossam-Eddine Glida, C. Sentouh, J. Rath
{"title":"Optimal Model-Free Finite-Time Control Based on Terminal Sliding Mode for a Coaxial Rotor","authors":"Hossam-Eddine Glida, C. Sentouh, J. Rath","doi":"10.3390/drones7120706","DOIUrl":null,"url":null,"abstract":"This study focuses on addressing the tracking control problem for a coaxial unmanned aerial vehicle (UAV) without any prior knowledge of its dynamic model. To overcome the limitations of model-based control, a model-free approach based on terminal sliding mode control is proposed for achieving precise position and rotation tracking. The terminal sliding mode technique is utilized to approximate the unknown nonlinear model of the system, while the global stability with finite-time convergence of the overall system is guaranteed using the Lyapunov theory. Additionally, the selection of control parameters is addressed by incorporating the accelerated particle swarm optimization (APSO) algorithm. Finally, numerical simulation tests are provided to demonstrate the effectiveness and feasibility of the proposed design approach, which demonstrates the capability of the model-free control approach to achieve accurate tracking control even without prior knowledge of the system’s dynamic model.","PeriodicalId":36448,"journal":{"name":"Drones","volume":"48 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drones","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/drones7120706","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0

Abstract

This study focuses on addressing the tracking control problem for a coaxial unmanned aerial vehicle (UAV) without any prior knowledge of its dynamic model. To overcome the limitations of model-based control, a model-free approach based on terminal sliding mode control is proposed for achieving precise position and rotation tracking. The terminal sliding mode technique is utilized to approximate the unknown nonlinear model of the system, while the global stability with finite-time convergence of the overall system is guaranteed using the Lyapunov theory. Additionally, the selection of control parameters is addressed by incorporating the accelerated particle swarm optimization (APSO) algorithm. Finally, numerical simulation tests are provided to demonstrate the effectiveness and feasibility of the proposed design approach, which demonstrates the capability of the model-free control approach to achieve accurate tracking control even without prior knowledge of the system’s dynamic model.
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
基于终端滑动模式的同轴转子最优无模型有限时间控制
本研究的重点是解决同轴无人飞行器(UAV)的跟踪控制问题,而无需事先了解其动态模型。为了克服基于模型控制的局限性,本文提出了一种基于终端滑模控制的无模型方法,以实现精确的位置和旋转跟踪。利用终端滑模技术来近似系统的未知非线性模型,同时利用 Lyapunov 理论保证整个系统的有限时间收敛全局稳定性。此外,还结合加速粒子群优化(APSO)算法解决了控制参数的选择问题。最后,还提供了数值模拟测试,以证明所提设计方法的有效性和可行性,从而证明无模型控制方法即使在事先不了解系统动态模型的情况下也能实现精确的跟踪控制。
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
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
期刊最新文献
Firefighting Drone Configuration and Scheduling for Wildfire Based on Loss Estimation and Minimization Wind Tunnel Balance Measurements of Bioinspired Tails for a Fixed Wing MAV Three-Dimensional Indoor Positioning Scheme for Drone with Fingerprint-Based Deep-Learning Classifier Blockchain-Enabled Infection Sample Collection System Using Two-Echelon Drone-Assisted Mechanism Joint Trajectory Design and Resource Optimization in UAV-Assisted Caching-Enabled Networks with Finite Blocklength Transmissions
×
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