Ahmad Abughali, Obadah Habash, Ahmed M. Elshamy, M. Alansari, K. Alhammadi
{"title":"Design and Analysis of a Linear Controller for Parrot AR Drone 2.0","authors":"Ahmad Abughali, Obadah Habash, Ahmed M. Elshamy, M. Alansari, K. Alhammadi","doi":"10.1109/ICECTA57148.2022.9990127","DOIUrl":null,"url":null,"abstract":"This paper aims to present the design and analysis of a Parrot AR Drone 2.0 linear controller. We investigate the system’s properties through its state-space representation. We then describe the construction of a state-feedback controller and observer based on the pole-placement method in order to stabilize and yield better control of the system. After that, we construct a Linear Quadratic Regulator (LQR) for trajectory tracking and improving the system’s performance. Finally, Simulink is used to observe the system’s performance when wind disturbance is introduced.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTA57148.2022.9990127","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
This paper aims to present the design and analysis of a Parrot AR Drone 2.0 linear controller. We investigate the system’s properties through its state-space representation. We then describe the construction of a state-feedback controller and observer based on the pole-placement method in order to stabilize and yield better control of the system. After that, we construct a Linear Quadratic Regulator (LQR) for trajectory tracking and improving the system’s performance. Finally, Simulink is used to observe the system’s performance when wind disturbance is introduced.