小型无人机经典与现代着陆控制系统的比较

Larasmoyo Nugroho
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引用次数: 11

摘要

本文以某小型无人机着陆控制系统为研究对象,将现代最优鲁棒控制方法与经典最优鲁棒控制方法进行了对比。从哲学上讲,采用H2方法的最优控制满足了优异的动态性能,而H∞方法给出的鲁棒性减小了干扰对性能输出的影响。因此,本文实现的混合H2/H∞最优鲁棒控制方法在性能和鲁棒稳定性之间达到了一个平衡的结果。在平飞、下降和耀斑三个飞行阶段,采用了经典和现代控制系统来稳定和跟踪期望的轨迹,这主要是受风干扰和地面效应的影响。采用模糊PID方法实现自动驾驶仪在飞行阶段之间的切换。线性矩阵不等式(LMI)方法显然适合于寻找平衡的H2/H∞增益。综上所述,所有的结果都是在线性化模型(Simulink-Flight Gear)中模拟的,并用非线性模型飞行仿真(X-Plane)加强。最优鲁棒着陆控制系统的性能和稳定性均优于传统控制系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of classical and modern landing control system for a small unmanned aerial vehicle
Research presented in the following paper contrasted the modern optimal robust control method with classical one, applied for a landing control system of a small unmanned aerial vehicle. Philosophically speaking, the optimal control used H2 method meets excellent dynamic performance, while the robustness given by the H∞ method diminish the effect of disturbance to the performance output. Accordingly, implemented mixed H2/H∞ optimal robust control method in this paper appear to meet a balancing result between performance and robustness stability. Three phases of flight, level flight, descent and flare used both classical and modern control system to stabilize and track the desired trajectory, which is exposed heavily to the presence of wind disturbance and ground effect. PID with fuzzy logic approach is employed to switch autopilot between the flight phases. Linear matrix inequality (LMI) approach is clearly suited to find the balanced H2/H∞ gain. To sum up, all results simulated in linearized model (Simulink-Flight Gear), strengthened with non-linear model flight simulation (X-Plane). The optimal robust landing control system delivers the performance and stability superior than classical controller one as expected.
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