Probability-oriented disturbance estimation-triggered control via collaborative and adaptive Bayesian optimization for reentry vehicles

IF 5 1区工程技术 Q1 ENGINEERING, AEROSPACE Aerospace Science and Technology Pub Date : 2024-08-13 DOI:10.1016/j.ast.2024.109470

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Abstract

The paper investigates the performance improvement issue for reentry vehicles under uncertainties from the perspective of probability. The disturbance estimation-triggered control (DETC) proves to achieve transient performance increase compared with the standard disturbance-observer control methods, and the presented approach further exploits the probability-oriented transient performance improvement based on the collaborative and adaptive Bayesian optimization (CABO) technique, which constructs the main contribution of the paper. Based on the attitude dynamics of reentry vehicles, the DETC method is first introduced to guarantee the tracking stability and robustness against the uncertainties including the aerodynamic perturbation and wind effects. Meanwhile, the performance improvement is analyzed theoretically. Then, by virtue of the CABO algorithm, the CABO-based DETC is presented by combining the performance and probability indexes. Finally, the simulation results verify the effectiveness of the proposed control scheme and parameters influence is also discussed.

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通过协作和自适应贝叶斯优化实现重返大气层飞行器的概率导向干扰估计触发控制

本文从概率的角度研究了不确定条件下再入飞行器的性能改进问题。与标准扰动观测器控制方法相比，扰动估计触发控制（DETC）被证明可以实现瞬态性能的提高，本文提出的方法基于协同自适应贝叶斯优化（CABO）技术，进一步利用了面向概率的瞬态性能提高，这也是本文的主要贡献。基于再入飞行器的姿态动力学，首先引入了 DETC 方法，以保证跟踪的稳定性和对包括气动扰动和风效应在内的不确定性的鲁棒性。同时，从理论上分析了该方法的性能改进。然后，借助 CABO 算法，结合性能指标和概率指标，提出了基于 CABO 的 DETC。最后，仿真结果验证了所提控制方案的有效性，并讨论了参数的影响。

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来源期刊

Aerospace Science and Technology 工程技术-工程：宇航

CiteScore

10.30

自引率

28.60%

发文量

654

审稿时长

54 days

期刊介绍： Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.