Sliding Mode Control in Reentry Phase for a Reusable Launch Vehicle Driven by a Self-Learning Disturbance Observer

被引：0

作者：

Chen J.-Y. ^{[1
]}

Mu R.-J. ^{[1
]}

Bai Y.-L. ^{[1
]}

Zhang X. ^{[1
]}

Cui N.-G. ^{[1
]}

机构：

[1] Department of Aerospace Engineering, Harbin Institute of Technology, Harbin

来源：

Yuhang Xuebao/Journal of Astronautics | 2019年 / 40卷 / 06期

关键词：

Reentry attitude track; Reusable launch vehicle (RLV); Self-learning disturbance observer (SLDO); Sliding mode control (SMC);

D O I：

10.3873/j.issn.1000-1328.2019.06.010

中图分类号：

学科分类号：

摘要：

A sliding mode controller based on self-learning disturbance observer (SLDO) is designed for a reusable launch vehicle (RLV). According to the singular perturbation theory, a RLV dynamic model is divided into the outer-loop and inner-loop subsystems. Since the model uncertainties and the disturbances vary with time and have unknown boundaries, combining with the type-2 neuro-fuzzy structure, feedback-error learning scheme and sliding mode control (SMC) theory, a novel online SLDO is presented. The multivariable supertwisting sliding mode controller driven by a SLDO is designed to track the re-entry trajectory precisely and convergent rapidly. Finally, by the simulation and analysis of the 6-degree-of-freedom model of RLV in the reentry phase, the effectiveness and the robustness of the integrated control scheme are verified. © 2019, Editorial Dept. of JA. All right reserved.

引用

页码：694 / 702

页数：8

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