Attitude Control of a Mass-Actuated Fixed-Wing UAV Based on Adaptive Global Fast Terminal Sliding Mode Control

Drones Pub Date : 2024-07-08 DOI:10.3390/drones8070305
Laohu Yuan, Jinxin Zheng, Xiaoguang Wang, Le Ma
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Abstract

Compared with traditional control methods, moving mass control (MMC) enhances the aerodynamic efficiency and stealth performance of fixed-wing unmanned aerial vehicles (FWUAVs), thereby facilitating their broader application in military and civilian fields. Nevertheless, this approach increases system complexity, nonlinearity, and coupling characteristics. To address these challenges, a novel attitude controller is proposed using adaptive global fast terminal sliding mode (GFTSM) control. Firstly, a dynamic model is established based on aerodynamics, flight dynamics, and moving mass dynamics. Secondly, to improve transient and steady-state responses, prescribed performance control (PPC) is adopted, which enhances the controller’s adaptability for mass-actuated aircraft. Thirdly, a fixed-time extended state observer (FTESO) is utilized to solve the inertial coupling issue caused by mass block movement. Additionally, the performance of the entire control system is rigorously proven through the Lyapunov function. Finally, numerical simulations of the proposed controller are compared with those of PID and linear ADRC in three different conditions: ideal conditions, fixed aerodynamic parameters, and nonlinear aerodynamic parameter changes. The results indicate that the controller effectively compensates for the system’s uncertainty and unknown disturbances, ensuring rapid and accurate tracking of the desired commands.
基于自适应全局快速终端滑模控制的质量控制固定翼无人机姿态控制
与传统控制方法相比,移动质量控制(MMC)可提高固定翼无人飞行器(FWUAV)的气动效率和隐身性能,从而促进其在军事和民用领域的广泛应用。然而,这种方法增加了系统的复杂性、非线性和耦合特性。为了应对这些挑战,我们提出了一种使用自适应全局快速终端滑动模式(GFTSM)控制的新型姿态控制器。首先,根据空气动力学、飞行动力学和运动质量动力学建立动态模型。其次,为改善瞬态和稳态响应,采用了规定性能控制(PPC),增强了控制器对质量驱动飞机的适应性。第三,利用固定时间扩展状态观测器(FTESO)来解决质量块运动引起的惯性耦合问题。此外,还通过 Lyapunov 函数严格证明了整个控制系统的性能。最后,在理想条件、固定气动参数和非线性气动参数变化三种不同条件下,对所提出的控制器与 PID 和线性 ADRC 进行了数值模拟比较。结果表明,该控制器能有效补偿系统的不确定性和未知干扰,确保快速、准确地跟踪所需的指令。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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