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

Zhaoji Wang, Shouzhao Sheng
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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.

基于有限时间扰动观测器的受扰无人直升机自适应复合控制。
提出了一种将有限时间扰动观测器(FTDO)与自适应控制相结合的复合控制方案,用于解决具有匹配和不匹配扰动的无人直升机的轨迹跟踪问题。首先,利用FTDO在有限时间内准确估计扰动信息,从而减轻集总扰动对直升机系统的影响,增强控制方案的抗干扰能力;随后,在控制器中加入扰动补偿项,设计了数据驱动的自适应比例导数(APD)控制器来跟踪期望的偏航角和位置信号。引入自适应机制,实现了基于系统数据的实时参数调整,有效消除了参数偏差,提高了控制精度,增强了控制器在复杂环境中的适应性。此外,将扰动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对系统的稳定性进行了严格的论证。最后,通过仿真实验将该方法与改进的自抗扰控制(ADRC)和基于ftdo的连续终端滑模控制(CTSMC)进行了比较。结果表明,该方法具有较强的鲁棒性和较高的控制精度。
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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