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基于有限时间干扰观测器的受扰无人直升机自适应复合控制

Finite time disturbance observer-based adaptive composite control for disturbed unmanned helicopter.

作者信息

Wang Zhaoji, Sheng Shouzhao

机构信息

College of automation, Nanjing University of Aeronautics and Astronautics, 210000 China.

出版信息

ISA Trans. 2025 Aug;163:139-150. doi: 10.1016/j.isatra.2025.05.013. Epub 2025 May 11.

Abstract

In this paper, a composite control scheme integrating finite time disturbance observer (FTDO) and adaptive control is presented to solve the trajectory tracking issues of unmanned helicopters with matched and mismatched disturbances. Firstly, an FTDO is employed to accurately estimate the disturbance information within finite time, thereby mitigating the impact of lumped disturbances on the helicopter system and enhancing the anti-disturbance capability of the control scheme. Subsequently, the disturbance compensation term is incorporated into the controller, and a data-driven adaptive proportional-derivative (APD) controller is designed to track the desired signals of yaw angle and position. The introduction of the adaptive mechanism enables real-time parameter adjustment based on system data, effectively eliminating parameter deviations, improving control accuracy, and enhancing the adaptability of controller in complex environments. In addition, the disturbance estimation error is embedded into the closed-loop stability analysis, and the system stability is rigorously demonstrated using Lyapunov theory. Finally, simulation experiments compare the proposed method with improved active disturbance rejection control (ADRC) and FTDO-based continuous terminal sliding mode control (CTSMC). The results demonstrate that the proposed scheme achieves strong robustness and high control accuracy even in the presence of both matched and mismatched disturbances.

摘要

本文提出了一种将有限时间干扰观测器(FTDO)与自适应控制相结合的复合控制方案,以解决无人直升机在存在匹配和不匹配干扰情况下的轨迹跟踪问题。首先,采用FTDO在有限时间内精确估计干扰信息,从而减轻集总干扰对直升机系统的影响,提高控制方案的抗干扰能力。随后,将干扰补偿项纳入控制器,并设计了一种数据驱动的自适应比例微分(APD)控制器来跟踪偏航角和位置的期望信号。自适应机制的引入使得能够根据系统数据进行实时参数调整,有效消除参数偏差,提高控制精度,并增强控制器在复杂环境中的适应性。此外,将干扰估计误差嵌入到闭环稳定性分析中,并利用李雅普诺夫理论严格证明了系统的稳定性。最后,通过仿真实验将所提方法与改进的主动干扰抑制控制(ADRC)和基于FTDO的连续终端滑模控制(CTSMC)进行了比较。结果表明,即使在存在匹配和不匹配干扰的情况下,所提方案仍具有很强的鲁棒性和较高的控制精度。

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