Nonlinear Flight Attitude Control Using Error Dynamics Based Dual Heuristic Dynamic Programming

被引：0
|
作者：
Huang, Xu [1 ]
Liu, Jiarun [1 ]
Zhong, Honghao [1 ]
Wang, Zhaolei [1 ]
Luo, Wuyi [1 ]
机构：
[1] Beijing Aerosp Automat Control Inst, Natl Key Lab Sci & Technol Aerosp Intelligence Co, Beijing, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
error dynamics; dual heuristic dynamic programming; self-learning; flight control;
D O I：
10.1109/CCDC58219.2023.10327656
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an improved approach called error dynamics based dual heuristic dynamic programming (ED-DHP) for nonlinear flight attitude control. The augmented system state containing tracking error and reference trajectory are defined for the DHP to solve the tracking problem, without requiring the complete knowledge of the vehicle dynamics and the reference trajectory dynamics. A recursive least square method is used to identify not only the input dynamics, but also the total uncertainty of the system based on the error dynamics in real time. The simulations of two different air vehicles demonstrate the good performance of ED-DHP for the online self-learning flight attitude control.
引用
收藏
页码：4548 / 4553
页数：6
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