Xinhua Wang, Xiulin Zhang, Huajun Gong, Ju Jiang, Hari Mohan Rai
{"title":"A flight control method for unmanned aerial vehicles based on vibration suppression","authors":"Xinhua Wang, Xiulin Zhang, Huajun Gong, Ju Jiang, Hari Mohan Rai","doi":"10.1049/cim2.12027","DOIUrl":null,"url":null,"abstract":"<p>The development of unmanned aerial vehicle (UAVs) has gained importance in recent years for various applications like photography, inspection of infrastructure and various agricultural applications. Various researchers have carried out numerous attempts at optimisation control of UAVs and their flight range maximisation. However, a few attempts have addressed structural deformation effects on the reliability and safety of UAVs. In order to study the effect of structural deformation on the reliability and safety of UAVs under normal flight conditions, a certain type of UAV as a research object is discussed and the augmented tracking model based on the original object system by using the Lyapunov function is built up. The performance is observed in terms of rise time and overshoot and it is observed from the simulation outcomes that the system is stable at all design points in the range of 0–9000 m, providing a rise time of 10 s and zero overshoot. From this study, it is revealed that the designed controller can effectively suppress the vibration of the flexible mode while ensuring the stability and tracking performance of the UAV.</p>","PeriodicalId":33286,"journal":{"name":"IET Collaborative Intelligent Manufacturing","volume":"3 3","pages":"252-261"},"PeriodicalIF":2.5000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/cim2.12027","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Collaborative Intelligent Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cim2.12027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The development of unmanned aerial vehicle (UAVs) has gained importance in recent years for various applications like photography, inspection of infrastructure and various agricultural applications. Various researchers have carried out numerous attempts at optimisation control of UAVs and their flight range maximisation. However, a few attempts have addressed structural deformation effects on the reliability and safety of UAVs. In order to study the effect of structural deformation on the reliability and safety of UAVs under normal flight conditions, a certain type of UAV as a research object is discussed and the augmented tracking model based on the original object system by using the Lyapunov function is built up. The performance is observed in terms of rise time and overshoot and it is observed from the simulation outcomes that the system is stable at all design points in the range of 0–9000 m, providing a rise time of 10 s and zero overshoot. From this study, it is revealed that the designed controller can effectively suppress the vibration of the flexible mode while ensuring the stability and tracking performance of the UAV.
期刊介绍:
IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly.
The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).