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Diagonally dominant backstepping autopilot for aircraft with unknown actuator failures and severe winds

机译:对角度占主导地位的飞机用于具有未知执行器故障和严重风的飞机的自动驾驶仪

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摘要

This paper presents a novel formulation of the flight dynamic equations that permits a rapid solution for the design of trajectory following autopilots for nonlinear aircraft dynamic models. A robust autopilot control structure is developed based on the combination of the good features the nonlinear dynamic inversion (NDI) method, integrator backstepping method, time scale separation and control allocation methods. The aircraft equations of motion are formulated in suitable variables so that the matrices involved in the block backstepping control design method are diagonally dominant. This allows us to use a linear controller structure for a trajectory following autopilot for the nonlinear aircraft model using the well known loop by loop controller design approach. The resulting autopilot for the fixed-wing rigid-body aircraft with a cascaded structure is referred to as the diagonally dominant backstepping (DDBS) controller. The method is illustrated here for an aircraft auto-landing problem under unknown actuator failures and severe winds. The issue of state and control surface limiting is also addressed in the context of the design of the DDBS controller.
机译:本文提出了一种飞行动力学方程式的新颖公式,可以为非线性飞机动力学模型的自动驾驶仪跟踪设计提供快速解决方案。基于非线性动态反演(NDI)方法,积分器反推法,时标分离和控制分配方法的优良特性,开发了一种鲁棒的自动驾驶控制结构。飞机的运动方程式用适当的变量表述,从而使模块后推控制设计方法所涉及的矩阵在对角线占主导地位。这使我们能够使用众所周知的逐回路控制器设计方法,针对非线性飞机模型在自动驾驶仪之后的轨迹上使用线性控制器结构。最终得到的具有级联结构的固定翼刚体飞机的自动驾驶仪称为对角线优势反推(DDBS)控制器。此处说明了在未知执行器故障和强风下飞机自动着陆问题的方法。在DDBS控制器的设计中也解决了状态和控制面限制的问题。

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