超音速
离散化
控制理论(社会学)
非线性系统
飞行动力学
喷射(流体)
计算机科学
空气动力学
最优控制
集合(抽象数据类型)
飞机飞行力学
功能(生物学)
湍流
航空航天工程
数学优化
控制(管理)
数学
工程类
物理
机械
数学分析
人工智能
生物
进化生物学
程序设计语言
量子力学
作者
Rafael M. Bertolin,Guilherme C. Barbosa,Torbjørn Cunis,Ilya Kolmanovsky,Carlos E. S. Cesnik
出处
期刊:
日期:2022-01-03
被引量:10
摘要
View Video Presentation: https://doi.org/10.2514/6.2022-2174.vid This paper presents a methodology based on optimal control to characterize the ability of a supersonic aircraft to reject atmospheric disturbances during its final approach to land. A longitudinal flight dynamics model is considered for which a set of rejectable disturbances is defined based on the values of three proposed barrier functionals. The problem of finding an admissible control input is then converted into a discrete nonlinear optimal control problem (NOCP) by defining an objective function based on an augmented discretized nonlinear dynamics that takes into account the disturbance models. It uses the Kreisselheimer-Steinhauser aggregation function to enable the application of gradient-based optimization methods. As an illustration, such an approach is applied to three different configurations of a supersonic business jet in the landing flight phase and under gust and turbulence disturbances.
科研通智能强力驱动
Strongly Powered by AbleSci AI