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Leap trajectory tracking control based on sliding mode theory for hypersonic gliding vehicle

[基于滑模理论的高超声速飞行器跳跃轨迹跟踪控制]

作     者:Kai AN Zhen-yun GUO Wei HUANG Xiao-ping XU Kai AN;Zhen-yun GUO;Wei HUANG;Xiao-ping XU

作者机构:Science and Technology on Scramjet LaboratoryCollege of Aerospace Science and EngineeringNational University of Defense TechnologyChangsha 410073China Beijing Interdisciplinary CenterNational University of Defense TechnologyBeijing 100101China 

出 版 物:《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报(英文版)A辑(应用物理与工程))

年 卷 期:2022年第23卷第3期

页      面:188-207页

核心收录:

学科分类:0711[理学-系统科学] 08[工学] 081105[工学-导航、制导与控制] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基  金:supported by the National Natural Science Foundation of China (No. 11972368) the Natural Science Foundation of Hunan Province (No. 2021JJ10045), China。 

主  题:Predictor-corrector guidance Drag tracking Sliding mode control(SMC) Super twisting control 

摘      要:The aim of this study was to develop robust tracking control schemes for the 3D leap trajectory of hypersonic gliding vehicles using sliding mode theory. A predictor-corrector guidance method was applied to the generation of the reference trajectory, and drag acceleration was selected as the profile of reference tracking. A combined super-twisting sliding mode controller(CST-SMC) is proposed to decrease the tracking error and guarantee the tracking performance in the presence of system nonlinearities compared to three other common controllers: the linear sliding mode controller(L-SMC), global fast terminal sliding mode controller(GFT-SMC), and super-twisting sliding mode controller(ST-SMC). By using the developed controller, the system state of a second-order drag acceleration tracking error system can approach the global fast terminal sliding manifold in finite time. By using the Lyapunov approach, sufficient conditions are deduced to ensure that the tracking performance is obtained for a closed-loop system. Furthermore, we show that the controller is robust to initial uncertain parameters and other perturbations, as validated by simulation results with appropriate gains.

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