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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.
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http://dx.doi.org/10.1016/j.isatra.2025.07.019 | DOI Listing |
Naturwissenschaften
September 2025
College of Life Science and Technology, Harbin Normal University, Harbin, 150025, People's Republic of China.
Amphibians, as a group greatly disturbed by human activities, are at increased risk of extinction. Rana dybowskii is an anuran species with both ecological and economic significance. Due to environmental changes and human overexploitation, it has been classified as Near-Threatened.
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September 2025
Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, 600044, Tamil Nadu, India.
Diabetes is a chronic disorder that disrupts the body's ability to regulate blood glucose (BG) levels, leading to dangerous fluctuations such as hypoglycemia and hyperglycemia. In managing Type 1 Diabetes (T1D), the Dual Hormone Artificial Pancreas (DHAP) has emerged as a promising solution for maintaining optimal BG levels by administering both insulin and glucagon. However, the major challenges in DHAPs are slow dynamics in glucose sensing and delayed insulin absorption.
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August 2025
School of Marine Engineering, Jimei University, Xiamen 361021, PR China; Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, PR China. Electronic address:
This paper presents a disturbance rejection event-triggered nonlinear model predictive control (DR-ETNMPC) method for underactuated unmanned surface vehicle (USV) subject to denial-of-service (DoS) attacks and lacking velocity measurements. A nonlinear extended state observer (NESO) is employed to estimate both unknown velocities and lumped disturbances, while a disturbance rejection nonlinear model predictive controller (DRNMPC) is designed to enforce actuator saturation constraints. To reduce computational load of the DRNMPC, an event-triggered mechanism is introduced, and a DoS attack defense mechanism is introduced to guarantee that the USV maintains high-precision tracking performance under DoS attacks.
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August 2025
State Key Laboratory of Mechanical Transmissions for Advanced Equipment, Chongqing University, Chongqing 400030, China. Electronic address:
This study proposes an improved fast non-singular adaptive super-twisting control scheme based on neural network to address the precise control issues of robot joint modules. Firstly, to facilitate the application of advanced control algorithms, a second-order state-space model of the joint module considering nonlinear friction and stiffness is established using the Lagrangian energy equation method. Then, an improved fast non-singular terminal sliding surface is proposed to avoid singularity and accelerate convergence.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China.
High-flow aeroengine transient tests involve strong coupling and external disturbances, which pose significant challenges for intake environment simulation systems (IESSs). This study proposes a compound control scheme that combines fixed-time active disturbance rejection with static decoupling methods. The scheme integrates a fixed-time sliding-mode controller (FT-SMC) and a super-twisting fixed-time extended-state observer (ST-FT-ESO).
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