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Pitch Autopilot Design for Agile Missiles with Uncertain Aerodynamic Coefficients

机译:气动系数不确定的敏捷导弹的俯仰自动驾驶仪设计

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摘要

The work presented here proposes two pitch autopilot designs for agile missiles which experience high pitch angles or angles of attack (AoA) during their manoeuvres. One great challenge pertaining to high AoA is that aerodynamic coefficients cannot be precisely predicted in a conventional wind tunnel environment. To directly address this challenge, the proposed autopilot designs (based on the integrator backstepping and $H_infty$-norm minimization) do not require precise knowledge of such aerodynamic coefficients and so has a strong practical merit. Simulation results clearly testify this practical merit.
机译:这里提出的工作提出了两种针对敏捷导弹的俯仰自动驾驶仪设计,这些导弹在机动过程中会经历高俯仰角或攻角(AoA)。与高AoA有关的一个巨大挑战是,在常规风洞环境中无法精确预测空气动力学系数。为了直接解决这一挑战,建议的自动驾驶仪设计(基于积分器的反演和$ H_infty $-范数最小化)不需要精确了解此类空气动力学系数,因此具有很强的实用价值。仿真结果清楚地证明了这一实用价值。

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