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Nonlinear Robust Autopilot for Rolling and Lateral Motions of an Aerodynamic Missile

机译:气动导弹侧向运动的非线性鲁棒自动驾驶仪

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The paper deals with robust stabilization of lateral and rolling motions of a skid-to-turn missile taking into account inertial, kinematic and aerodynamic couplings. The main difficulties that rise in control design are related to the highly uncertain, time-varying and nonlinear aerodynamic forces that affect the system. To handle them, the design of the autopilot is based on "backstepping", a nonlinear control design approach which rouses the aerospace community's interest. Robustness is achieved using a C1 sigmoid-like function, which compensates the uncertainties' effects by dominating them in size. The recursive and flexible composition of the control law makes easy the compensation of three different kinds of uncertainties: matched, equivalently matched and unmatched, whose criticality in robust control design is well known. The peculiarity of the control scheme proposed lies in the fusion of a revisited version of the classical Lyapunov redesign controller into the standard backstepping design procedure, thus simplifying the handling of matched uncertainties. The whole design makes massive use of Lyapunov direct criterion in the context of robust uniform global asymptotic stability theory. The autopilot is designed to regulate bank angle, roll-rate and sideslip angle according to the tight requirements imposed by the external guidance loop and by navigation needs. Simulation results show the effectiveness of the proposed nonlinear controller in presence of extra perturbations and disturbances.
机译:本文考虑了惯性,运动学和空气动力学耦合,对滑转导弹的横向和滚动运动进行了稳健的稳定处理。控制设计中出现的主要困难与影响系统的高度不确定,时变和非线性空气动力有关。为了解决这些问题,自动驾驶仪的设计基于“ backstepping”,这是一种非线性控制设计方法,引起了航空航天界的兴趣。通过使用类似于C1的S形函数来实现鲁棒性,该函数通过控制不确定性的大小来补偿不确定性的影响。控制律的递归和灵活的组合使得容易补偿三种不同的不确定性:匹配,等效匹配和不匹配,其在鲁棒控制设计中的重要性是众所周知的。所提出的控制方案的特殊性在于将经典Lyapunov重新设计控制器的修订版本与标准反推设计程序融合在一起,从而简化了对匹配不确定性的处理。整个设计在鲁棒均匀全局渐近稳定性理论的背景下大量使用Lyapunov直接准则。自动驾驶仪旨在根据外部引导回路和导航需求所施加的严格要求来调节倾斜角,侧倾速率和侧滑角。仿真结果表明,所提出的非线性控制器在存在额外扰动和干扰的情况下是有效的。

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