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Ascent guidance for air-breathing hypersonic vehicles based on dynamic inversion

机译:基于动态反转的空气呼吸超声车辆的准指导

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摘要

This article presents an adaptive ascent guidance strategy based on dynamic inversion for air-breathing hypersonic vehicles. Since dynamic inversion is effective to deal with nonlinear problems, this method is employed here to design the ascent guidance command. Compared with conventional dynamic inversion, an adaptive scheme is added into the guidance strategy, which significantly improves the robust performance of this method. And the stability analysis is given to prove the convergence of the nonlinear system. Besides, considering the real-world dynamic motions of the vehicle should be aware to calculate the guidance command instead of referring to the nominal model, the least squares algorithm with forgetting factor is adopted in this article to estimate the real thrust acceleration. And the reference trajectory generated online by polynomial fitting shows better adaptation to the change of flight environment and less computation time than other trajectory generation methods. Results of simulation are provided to demonstrate the feasibility and effectiveness of this approach.
机译:本文介绍了一种基于动态反演的空气呼吸超声车辆的自适应准备策略。由于动态反演有效处理非线性问题,因此此方法用于设计Ascent Guidance命令。与传统动态反演相比,将自适应方案添加到引导策略中,这显着提高了该方法的鲁棒性能。并且给出了稳定性分析来证明非线性系统的收敛性。此外,考虑到车辆的真实动态动态运动应该意识到指导命令而不是参考标称模型,本文采用了具有遗忘因子的最小二乘算法,以估计实际推力加速度。通过多项式拟合在线生成的参考轨迹显示出更好地适应飞行环境的变化和比其他轨迹生成方法更少的计算时间。提供了模拟结果以证明这种方法的可行性和有效性。

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