Taiqi Wang , Yuanqing Xia , Kai Zhao , Minfeng Wei , Wuyi Luo
{"title":"四旋翼姿态跟踪有限时间自抗扰控制方案。","authors":"Taiqi Wang , Yuanqing Xia , Kai Zhao , Minfeng Wei , Wuyi Luo","doi":"10.1016/j.isatra.2025.07.019","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, a finite-time active disturbance rejection control (FADRC) framework for quadrotor attitude tracking is presented. The FADRC framework is developed for two cascaded loops (inner-loop and outer-loop) to control the attitude angle and angular velocity, respectively. Two nonlinear extended state observers (NESOs) are devised to actively estimate and compensate for total disturbances, including internal uncertainties and external disturbances. A novel tracking differentiator (TD) is introduced to generate smooth angular speed information, featuring a simpler configuration and only one adjustable parameter, thus enhancing practical applicability. Additionally, a nonlinear control law is formulated to resist disturbances. For the outer-loop, a finite-time controller is designed to significantly enhance the tracking speed and mitigate the effects of tracking errors by ensuring convergence in a finite time, thereby improving the overall system response and robustness. The inner-loop nonlinear controller ensures rapid angular velocity tracking and stable output torques. The convergence of the TD and NESO, as well as the stability of the dual-loop controllers, are rigorously proven using Lyapunov methods. Simulation and experimental results demonstrate that the proposed control scheme achieves precise tracking performance with faster response speed, smaller tracking error, and better disturbance rejection performance compared to the existing methods.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 325-336"},"PeriodicalIF":6.5000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite-time active disturbance rejection control scheme for quadrotor attitude tracking\",\"authors\":\"Taiqi Wang , Yuanqing Xia , Kai Zhao , Minfeng Wei , Wuyi Luo\",\"doi\":\"10.1016/j.isatra.2025.07.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, a finite-time active disturbance rejection control (FADRC) framework for quadrotor attitude tracking is presented. The FADRC framework is developed for two cascaded loops (inner-loop and outer-loop) to control the attitude angle and angular velocity, respectively. Two nonlinear extended state observers (NESOs) are devised to actively estimate and compensate for total disturbances, including internal uncertainties and external disturbances. A novel tracking differentiator (TD) is introduced to generate smooth angular speed information, featuring a simpler configuration and only one adjustable parameter, thus enhancing practical applicability. Additionally, a nonlinear control law is formulated to resist disturbances. For the outer-loop, a finite-time controller is designed to significantly enhance the tracking speed and mitigate the effects of tracking errors by ensuring convergence in a finite time, thereby improving the overall system response and robustness. The inner-loop nonlinear controller ensures rapid angular velocity tracking and stable output torques. The convergence of the TD and NESO, as well as the stability of the dual-loop controllers, are rigorously proven using Lyapunov methods. Simulation and experimental results demonstrate that the proposed control scheme achieves precise tracking performance with faster response speed, smaller tracking error, and better disturbance rejection performance compared to the existing methods.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"166 \",\"pages\":\"Pages 325-336\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825003684\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825003684","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Finite-time active disturbance rejection control scheme for quadrotor attitude tracking
In this paper, a finite-time active disturbance rejection control (FADRC) framework for quadrotor attitude tracking is presented. The FADRC framework is developed for two cascaded loops (inner-loop and outer-loop) to control the attitude angle and angular velocity, respectively. Two nonlinear extended state observers (NESOs) are devised to actively estimate and compensate for total disturbances, including internal uncertainties and external disturbances. A novel tracking differentiator (TD) is introduced to generate smooth angular speed information, featuring a simpler configuration and only one adjustable parameter, thus enhancing practical applicability. Additionally, a nonlinear control law is formulated to resist disturbances. For the outer-loop, a finite-time controller is designed to significantly enhance the tracking speed and mitigate the effects of tracking errors by ensuring convergence in a finite time, thereby improving the overall system response and robustness. The inner-loop nonlinear controller ensures rapid angular velocity tracking and stable output torques. The convergence of the TD and NESO, as well as the stability of the dual-loop controllers, are rigorously proven using Lyapunov methods. Simulation and experimental results demonstrate that the proposed control scheme achieves precise tracking performance with faster response speed, smaller tracking error, and better disturbance rejection performance compared to the existing methods.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.