{"title":"Nonlinear Extended State Observer Based Robust Control for Quadrotor UAV Trajectory Tracking with Input Saturation*","authors":"Zhipeng Zhang, Jun Shen","doi":"10.1109/ISAS59543.2023.10164412","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of robust anti-disturbance control of a quadrotor unmanned aerial vehicle (UAV) with input saturation and disturbance is investigated. A sliding mode trajectory tracking control method based on nonlinear extended state observer (NLESO) is presented. This approach first designs a NLESO for estimating all states and total disturbances in the quadrotor UAV. Then, a hyperbolic tangent function is introduced to approach the actuator saturation function. Combined with the traditional sliding mode control method, a second-order auxiliary dynamic system is adopted to compensate for the influence of input saturation. Moreover, the trajectory tracking capability of all signals of the closed-loop system is demonstrated by Lyapunov stability. Finally, quadrotor UAV model-based data simulation is presented to illustrate the theoretical results.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAS59543.2023.10164412","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
In this paper, the problem of robust anti-disturbance control of a quadrotor unmanned aerial vehicle (UAV) with input saturation and disturbance is investigated. A sliding mode trajectory tracking control method based on nonlinear extended state observer (NLESO) is presented. This approach first designs a NLESO for estimating all states and total disturbances in the quadrotor UAV. Then, a hyperbolic tangent function is introduced to approach the actuator saturation function. Combined with the traditional sliding mode control method, a second-order auxiliary dynamic system is adopted to compensate for the influence of input saturation. Moreover, the trajectory tracking capability of all signals of the closed-loop system is demonstrated by Lyapunov stability. Finally, quadrotor UAV model-based data simulation is presented to illustrate the theoretical results.