系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (4): 1378-1385.doi: 10.12305/j.issn.1001-506X.2026.04.26

• 制导、导航与控制 • 上一篇    

可变时间下的GS-MPSP协同弹道规划算法

郭建国1,*, 许新鹏1,2, 廖晶1   

  1. 1. 西北工业大学航天学院,陕西 西安 710072
    2. 上海机电工程研究所,上海 201109
  • 收稿日期:2025-03-21 修回日期:2025-05-29 出版日期:2025-11-25 发布日期:2025-11-25
  • 通讯作者: 郭建国
  • 作者简介:许新鹏(1989—),男,博士研究生,主要研究方向为飞行器弹道规划与协同制导
    廖 晶(2000—),男,硕士研究生,主要研究方向为飞行器弹道规划与协同制导
  • 基金资助:
    国家自然科学基金(52472419)资助课题

Variable time GS-MPSP collaborative trajectory planning algorithm

Jianguo GUO1,*, Xinpeng XU1,2, Jing LIAO1   

  1. 1. School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China
    2. Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China
  • Received:2025-03-21 Revised:2025-05-29 Online:2025-11-25 Published:2025-11-25
  • Contact: Jianguo GUO

摘要:

针对中制导协同弹道规划问题,提出一种可变时间下广义逆谱模型预测静态规划的协同弹道规划算法。首先,该算法利用Legendre伪谱法实现了权重矩阵的解算。然后,在连续积分形式下,考虑过程约束及末端时间可变性,建立了综合性能函数,推导更新显示表达式,降低了离散点的个数,提高了求解效率,同时保持了经典模型预测静态规划方法的求解精度。最后,采用分布式协同弹道规划策略完成了可变时间下的多飞行器协同弹道规划。仿真表明,与现有文献中的常见方法及策略相比,所提出算法更好地解决多约束条件下的协同规划问题,具备更高计算效率和精度。

关键词: 中制导, 模型预测静态规划, 可变时间, 协同规划, 协同策略

Abstract:

Aiming at the problem of collaborative trajectory planning in midcourse, a collaborative trajectory planning algorithm based on generalized quasi-spectral model predictive static planning guidance under variable time is proposed. Firstly, the algorithm employs the Legendre pseudospectral method to solve the weight matrix. Secondly, under the continuous integral form, it establishes a comprehensive performance function with the explicit expression by considering both process constraints and variable terminal time, which reduces the number of discrete points, improves the computational efficiency and maintaines the solution accuracy of the classical model predictive static planning method. Finally, the distributed collaborative trajectory planning strategy is applied to the variable time multi-vehicle collaborative trajectory planning. Simulations show that the proposed method demonstrates high computational efficiency, and high accuracy by comparing with common methods and strategies in existing literature to solve the collaborative planning problem under multiple constraints.

Key words: midcourse guidance, model predictive static planning, variable time, collaborative planning, collaborative strategy

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