Near-asteroid spacecraft formation control with prescribed-performance: A dynamic event-triggered reinforcement learning control approach

IF 5 1区工程技术 Q1 ENGINEERING, AEROSPACE

Aerospace Science and Technology Pub Date : 2025-03-17 DOI:10.1016/j.ast.2025.110138

Ran Sun , Choon Ki Ahn , Deyun Liu , Wei Wang , Chengxi Zhang

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引用次数: 0

Abstract

This paper presents an event-triggered approximate optimal tracking control method for near-asteroid spacecraft formation flying systems. Compared with the traditional open-loop optimal control, the proposed solution optimizes the trade-off between tracking performance and online energy consumption by combining prescribed performance control and reinforcement learning. Specifically, a state transformation approach is employed to convert the relative error systems into a form with adjustable performance metrics. Then, a policy iteration algorithm is developed to derive the optimal control policy for the transformed system, which leverages historical data to relax the persistence of excitation conditions. Furthermore, a new Lipschitz-assumption-free dynamic event-triggered mechanism is incorporated to activate the approximate optimal controller only under specific conditions, further reducing the control update frequency. Finally, simulation results show that the update numbers can be lower by 40% compared to the static event-triggered scheme.

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具有规定性能的近小行星航天器编队控制：一种动态事件触发强化学习控制方法

提出了一种事件触发的近小行星航天器编队飞行系统的近似最优跟踪控制方法。与传统的开环最优控制相比，该方案通过结合规定的性能控制和强化学习，优化了跟踪性能和在线能耗之间的权衡。具体而言，采用状态转换方法将相对误差系统转换为具有可调性能指标的形式。然后，提出了一种策略迭代算法，利用历史数据放宽激励条件的持久性，推导出变换后系统的最优控制策略。此外，引入了一种新的无lipschitz假设的动态事件触发机制，仅在特定条件下激活近似最优控制器，进一步降低了控制更新频率。最后，仿真结果表明，与静态事件触发方案相比，该方案的更新次数减少了40%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.