基于NLESO的倾斜推进无人机垂直起降模式轨迹跟踪控制

Q3 Engineering 西北工业大学学报 Pub Date : 2023-02-01 DOI:10.1051/jnwpu/20234110001
Jiyu Xia, Zhou Zhou, Zhengping Wang, Rui Wang
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引用次数: 0

摘要

针对存在外部环境扰动和内部参数扰动等不确定性的倾斜推进无人机垂直起降模式,研究了其轨迹跟踪控制,提出了一种基于非线性扩展状态观测器(NLESO)的内外双环滑模控制方案。首先,根据倾斜推进无人机的特点,依次建立了推进系统动力学模型、机身/机翼及偏航舵气动模型和动力学方程,完成了其动力学建模工作。然后,将内外不确定性视为集总扰动,设计NLESO对其进行估计和补偿。然后,基于NLESO和滑模控制方法,设计了垂直起降模式的位置和姿态双环控制器。最后,设计了Lyapunov函数来分析NLESO和整个控制系统的稳定性。仿真结果表明,该方法显著提高了倾斜动力无人机的轨迹跟踪响应速度和抑制垂直起降方式不确定性的能力。
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Trajectory tracking control of tilt-propulsion UAV vertical take-off and landing mode based on NLESO
Aiming at the vertical take-off and landing mode of tilt-propulsion UAV with uncertainties such as external environment disturbance and internal parameter perturbation, this paper studies the trajectory tracking control, and proposes an internal and external double loop sliding mode control scheme based on nonlinear extended state observer (NLESO). Firstly, according to the characteristics of tilt-propulsion UAV, the dynamic model of propulsion system, aerodynamic model of fuselage/wing and yaw rudder, and dynamic equation are established in turn to complete the dynamic modeling work. Then, the internal and external uncertainties are regarded as lumped disturbances, and NLESO is designed to estimate them and compensate the control system. Afterwards, based on NLESO and sliding mode control method, the position and attitude double loop controller of VTOL mode is designed. Finally, the Lyapunov function is designed to analyze the stability of NLESO and the whole control system. Simulation results show that the proposed method significantly improves the trajectory tracking response speed and the ability to suppress uncertainties of vertical take-off and landing mode of tilt dynamic UAV.
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来源期刊
西北工业大学学报
西北工业大学学报 Engineering-Engineering (all)
CiteScore
1.30
自引率
0.00%
发文量
6201
审稿时长
12 weeks
期刊介绍:
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