固定翼倾转旋翼无人机过渡非线性混合气动建模及抗谐波干扰鲁棒控制

IF 4.4 2区 地球科学 Q1 REMOTE SENSING
Drones Pub Date : 2023-04-10 DOI:10.3390/drones7040255
Jingxian Liao, H. Bang
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引用次数: 1

摘要

针对倾转旋翼无人机大迎角飞行过渡阶段,提出了一种新的非线性混合气动模型,该模型将气动系数的平板模式和线性模式聚合在一起。此外,谐波干扰观测器(HDO)和超扭转滑模控制器(STSMC)解决了快速变化的外部干扰,并减弱了原滑模控制器中的抖振问题。对比轨迹跟踪结果表明,混合气动模型能够准确跟踪参考信号,无跟踪误差,与传统气动模型相比,对俯仰角、俯仰率、速度u和w的跟踪时间分别缩短了2.2%、50%、73.6%和11.2%。相反,传统方法的跟踪误差较大,从俯仰角通道的0.016°到俯仰速率通道的1.25°/s,速度u为0.6 m/s,速度w为0.01 m/s。此外,对比控制输入结果表明,采用混合函数的HDO-STSMC控制方法所需的控制努力最小,而原始ESO-SMC控制方法振荡较多,幅度变化剧烈。收敛时间为原来的2倍,且具有较大的跟踪误差,俯仰角通道为1.067°,俯仰速率通道为0.788°/s,速度u为1.554 m/s,速度w为0.746 m/s,验证了该混合功能的HDO-STSMC的可行性和优越性。两项性能指标表明该过渡混合气动模型具有鲁棒稳定性和快速收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transition Nonlinear Blended Aerodynamic Modeling and Anti-Harmonic Disturbance Robust Control of Fixed-Wing Tiltrotor UAV
This study proposed a novel nonlinear blended aerodynamic model for the tiltrotor unmanned aerial vehicle (UAV) during the transition phase to handle the high angle-of-attack (AoA) flight, which aggregated the flat-plate mode and the linear mode of the aerodynamic coefficients. Additionally, a harmonic disturbance observer (HDO) and super-twisting sliding mode controller (STSMC) addressed the fast-changing external disturbances and attenuated the chattering problem in the original SMC. The comparative trajectory tracking results indicated that the blended aerodynamic model accurately tracks the reference signals with no tracking errors, which demonstrated a superior performance as compared to the traditional aerodynamic model, with a reduction of 2.2%, 50%, 73.6%, and 11.2% in the time required for tracking the pitch angle, pitch rate, and velocities u and w, respectively. Conversely, the traditional one exhibited significant tracking errors, ranging from 0.016° in the pitch angle channel to 1.25°/s in the pitch rate channel, and 0.6 m/s for velocity u and 0.01 m/s for velocity w. Moreover, the comparative control input results illustrated that the least control effort was required for the proposed HDO-STSMC control scheme with a blending function, while the original ESO-SMC experienced more oscillations and sharp amplitude changes, taking twice the time to converge, with considerable tracking errors such as 1.067° in the pitch angle channel, 0.788°/s in the pitch rate channel, 1.554 m/s for velocity u, and 0.746 m/s for velocity w, which verified the feasibility and superiority of the proposed HDO-STSMC with the blending function. Two performance indices revealed the robust stability and rapid convergence of the proposed transition blended aerodynamic model with the HDO-STSMC control scheme.
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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