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Acceleration autopilot for a guided spinning rocket via adaptive output feedback

机译:自适应输出反馈的自动制导火箭加速度自动驾驶仪

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Uncertainties in control effectiveness, and moment coefficients are among the practical challenges in control of flight vehicles. Adaptive control is known as a proper method to handle uncertain systems, and has been used in numerous applications to improve system performance in the presence of system uncertainties. This paper presents a new method of synthesizing an acceleration autopilot for a guided spinning rocket, which is a class of uncertain, non-square multi-input/multi-output system. Firstly, a nonlinear and coupled six-degree-of-freedom (6-DoF) dynamic model is established, which is used to evaluate the performance of the proposed adaptive autopilot during the whole operating cycle. Secondly, a simple design procedure based on square-up method and linear matrix inequality (LMI) is proposed to design the autopilot, allowing a globally stable adaptive output feedback law to be generated. Finally, the adaptive output feedback autopilot is applied to the nonlinear 6-DoF dynamic model and it is shown to result in stable tracking in the presence of uncertainties. (C) 2018 Elsevier Masson SAS. All rights reserved.
机译:控制有效性和力矩系数的不确定性是飞行器控制中的实际挑战。自适应控制是处理不确定系统的一种适当方法,并且已在许多应用中用于在存在系统不确定性的情况下提高系统性能。本文提出了一种新型的合成制导火箭加速度自动驾驶仪的新方法,该方法是一类不确定的,非平方的多输入/多输出系统。首先,建立了非线性和耦合的六自由度(6-DoF)动力学模型,该模型用于评估所提出的自适应自动驾驶仪在整个工作周期内的性能。其次,提出了一种基于平方化法和线性矩阵不等式(LMI)的简单设计程序来设计自动驾驶仪,从而可以生成全局稳定的自适应输出反馈律。最后,将自适应输出反馈自动驾驶仪应用于非线性6-DoF动态模型,结果表明在存在不确定性的情况下,该模型可导致稳定的跟踪。 (C)2018 Elsevier Masson SAS。版权所有。

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