Miranda-Moya Armando, Castañeda Herman, Wang Hesheng
Tecnologico de Monterrey, School of Science and Engineering Av. Eugenio Garza Sada 2501 Sur Monterrey, Nuevo, Leon 64849, Mexico.
Department of Automation, Key Laboratory of System Control and Information Processing of Ministry of Education, Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai Jiao Tong University, Shanghai 200240, China.
ISA Trans. 2025 Feb;157:248-257. doi: 10.1016/j.isatra.2024.12.003. Epub 2024 Dec 14.
This paper presents the design of a disturbance rejection-based control strategy for a quadrotor unmanned aerial vehicle subject to model uncertainties and external disturbances described by turbulent wind gusts of severe intensity. First, an extended state observer is introduced to supply full-state and total disturbance estimations within a fixed time regardless of initial estimation errors. Then, an adaptive non-singular fast terminal sliding mode controller with a single-gain structure is proposed to reduce the tuning complexity and drive the pose of the rotorcraft while providing practical finite-time convergence, robustness to bounded external disturbances, non-overestimation of its control gain, and chattering attenuation. Furthermore, the stability of the closed-loop system is guaranteed through homogeneity and Lyapunov theory. Simulation results obtained through the ROS/Gazebo framework demonstrate graphically and quantitatively that the proposed observer-based controller reduces the influence of perturbations and requires less torque effort than existing methods in the presence of sensor noise.
本文提出了一种基于干扰抑制的控制策略,用于受模型不确定性和由强强度紊流阵风描述的外部干扰影响的四旋翼无人机。首先,引入了一种扩展状态观测器,以在固定时间内提供全状态和总干扰估计,而不管初始估计误差如何。然后,提出了一种具有单增益结构的自适应非奇异快速终端滑模控制器,以降低调谐复杂性并驱动旋翼机的姿态,同时提供实际的有限时间收敛、对有界外部干扰的鲁棒性、对其控制增益的非高估以及抖振衰减。此外,通过齐次性和李雅普诺夫理论保证了闭环系统的稳定性。通过ROS/Gazebo框架获得的仿真结果以图形和定量方式表明,所提出的基于观测器的控制器在存在传感器噪声的情况下减少了扰动的影响,并且比现有方法需要更少的扭矩。