{"title":"Adaptive Fractional Order Control Applied to a Multi-Rotor System","authors":"E. Dulf, Daniel D. Timis, L. Székely, L. Miclea","doi":"10.1109/CSCS.2019.00124","DOIUrl":null,"url":null,"abstract":"Due to their exceptional flying maneuverability and simple dynamics, multirotor systems are widely used for various applications. Such systems vary over time due to external disturbances or unmeasured changes to which they are subjected. In this case, a simple PID controller cannot provide the desired response, unless the controller parameters are re-tuned. An adaptive control algorithm responds to this need. Moreover, to increase robustness, fractional order controllers are designed, being recognized for this property. Such control provides the entire process with good robustness and ensures good operation for major process changes. The present paper describes a comparison between such an algorithm and a classical PID applied to a quadcopter system.","PeriodicalId":352411,"journal":{"name":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCS.2019.00124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Due to their exceptional flying maneuverability and simple dynamics, multirotor systems are widely used for various applications. Such systems vary over time due to external disturbances or unmeasured changes to which they are subjected. In this case, a simple PID controller cannot provide the desired response, unless the controller parameters are re-tuned. An adaptive control algorithm responds to this need. Moreover, to increase robustness, fractional order controllers are designed, being recognized for this property. Such control provides the entire process with good robustness and ensures good operation for major process changes. The present paper describes a comparison between such an algorithm and a classical PID applied to a quadcopter system.