Approximate Analytical Approach for Spacecraft Pursuit–Evasion Game With Reachability Analysis

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-03-17 DOI:10.1109/TAES.2025.3552073
Zhen Jia;Dong Ye;Yan Xiao;Zhaowei Sun
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Abstract

The problem of spacecraft pursuit–evasion game is typically represented as a two-player zero-sum differential game. The two-point boundary value problem derived from the Pontryagin minimum principle is usually solved by indirect heuristic or nonlinear programming methods to obtain the saddle point solution. However, these methods are computationally expensive and unsuitable for spacecraft on-orbit implementation. This article proposes an approximate analytical approach by combining optimal control and forward reachable set to solve the pursuit–evasion game efficiently. First, a two-sided optimal control problem is converted into an equivalent one-sided minimum-time problem. Then, an explicit and analytical ellipsoid boundary of the approximate reachable set is proposed to determine the optimal terminal time. The approximation strategy can be obtained simultaneously with the proposed terminal geometric conditions. The numerical simulations demonstrate the effectiveness and efficiency of the proposed real-time approach and at least three orders of magnitude faster compared to existing methods. In addition, a Monte Carlo simulation is performed to assess the numerical robustness and reliability of the method, especially its superiority for the short-term game.
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具有可达性分析的航天器追-避博弈近似解析方法
航天器追逃博弈问题通常表现为二人零和微分博弈。由庞特里亚金最小原理导出的两点边值问题通常采用间接启发式或非线性规划方法求解,以获得鞍点解。然而,这些方法计算成本高,不适合航天器在轨实现。本文提出了一种将最优控制与前向可达集相结合的近似解析方法来有效地求解追逃博弈。首先,将双边最优控制问题转化为等价的单边最小时间问题。然后,提出近似可达集的显式解析椭球边界来确定最优终端时间。该近似策略可与所提出的终端几何条件同时得到。数值仿真结果表明,所提方法的实时性和有效性比现有方法提高了至少三个数量级。此外,通过蒙特卡罗仿真验证了该方法的数值鲁棒性和可靠性,特别是其对短期博弈的优越性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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