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Robust entry guidance using multi-segment linear pseudospectral model predictive control

Robust entry guidance using multi-segment linear pseudospectral model predictive control

作     者:Liang Yang Wanchun Chen Xiaoming Liu Hao Zhou 

作者机构:School of AstronauticsBeihang UniversityBeijing 100191China 

出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))

年 卷 期:2017年第28卷第1期

页      面:103-125页

核心收录:

学科分类:0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 07[理学] 08[工学] 0802[工学-机械工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基  金:supported by the National Natural Science Foundation of China(61403007) 

主  题:Calculations Computational efficiency Drag Electronic guidance systems Intelligent systems Lift drag ratio Linear algebra Linear equations Monte Carlo methods 

摘      要:This paper presents a robust entry guidance algorithm for the high lift-to-drag ratio entry vehicle that employs the recently developed pseudospectral model predict control in a segmented manner. Here, the guidance commands are the longitudinal lift-to-drag (L/D) and bank reversal commands, which are calculated by successively solving multiple segment linear algebraic equations. These equations are derived using the linear pseudospectral method, control parametrization and calculus of variations. The method uses orthogonal polynomials and computes the updates through a series of analytical formulae, which makes it accurate and computationally effective. Moreover, it is able to adjust the number of bank reversals by providing the precise bank reversal point so as to fully exploit the potential of lateral maneuver. The method also employs proportional navigation and polynomial guidance after the last bank reversal to meet multiple terminal constraints. High-fidelity numerical simulations with various destinations are carried out to demonstrate its applicability. Furthermore, Monte Carlo simulations are also conducted to show that the proposed algorithm consistently offers very stable and robust performances and has superior performances in computational efficiency, guidance accuracy and lateral trajectory shaping capability in comparison with other typical methods. © 1990-2011 Beijing Institute of Aerospace Information.

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