{"title":"同轴十二旋翼无人飞行机器人超扭转轨迹有限时间跟踪控制","authors":"C. Peng, Guangjian He, Lihua Cai","doi":"10.1109/wsai55384.2022.9836355","DOIUrl":null,"url":null,"abstract":"Finite-time super-twisting trajectory tracking control for a coaxial twelve-rotor unmanned flying robot (UFR) is investigated under un-modeled dynamics and external disturbance. The coaxial twelve-rotor UFR as the nested closed-loop control system is divided into outer loop and inner loop. The integral sliding mode controller is adopted for the outer loop, and finite-time super-twisting sliding mode controller is proposed for the inner loop. A finite-time extended state observer (ESO) is designed to effectively estimate un-modeled dynamics and external disturbance. Then, the stability of the closed- loop system is proved by Lyapunov stability theorem. Finally, numerical simulation experiments demonstrate the effectiveness and superiority of the proposed control strategy.","PeriodicalId":402449,"journal":{"name":"2022 4th World Symposium on Artificial Intelligence (WSAI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite-Time Super-Twisting Trajectory Tracking Control for a Coaxial Twelve-Rotor Unmanned Flying Robot\",\"authors\":\"C. Peng, Guangjian He, Lihua Cai\",\"doi\":\"10.1109/wsai55384.2022.9836355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finite-time super-twisting trajectory tracking control for a coaxial twelve-rotor unmanned flying robot (UFR) is investigated under un-modeled dynamics and external disturbance. The coaxial twelve-rotor UFR as the nested closed-loop control system is divided into outer loop and inner loop. The integral sliding mode controller is adopted for the outer loop, and finite-time super-twisting sliding mode controller is proposed for the inner loop. A finite-time extended state observer (ESO) is designed to effectively estimate un-modeled dynamics and external disturbance. Then, the stability of the closed- loop system is proved by Lyapunov stability theorem. Finally, numerical simulation experiments demonstrate the effectiveness and superiority of the proposed control strategy.\",\"PeriodicalId\":402449,\"journal\":{\"name\":\"2022 4th World Symposium on Artificial Intelligence (WSAI)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th World Symposium on Artificial Intelligence (WSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/wsai55384.2022.9836355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th World Symposium on Artificial Intelligence (WSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wsai55384.2022.9836355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite-Time Super-Twisting Trajectory Tracking Control for a Coaxial Twelve-Rotor Unmanned Flying Robot
Finite-time super-twisting trajectory tracking control for a coaxial twelve-rotor unmanned flying robot (UFR) is investigated under un-modeled dynamics and external disturbance. The coaxial twelve-rotor UFR as the nested closed-loop control system is divided into outer loop and inner loop. The integral sliding mode controller is adopted for the outer loop, and finite-time super-twisting sliding mode controller is proposed for the inner loop. A finite-time extended state observer (ESO) is designed to effectively estimate un-modeled dynamics and external disturbance. Then, the stability of the closed- loop system is proved by Lyapunov stability theorem. Finally, numerical simulation experiments demonstrate the effectiveness and superiority of the proposed control strategy.