系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (7): 2158-2169.doi: 10.12305/j.issn.1001-506X.2023.07.27

• 制导、导航与控制 • 上一篇    下一篇

基于改进人工势场法的再入制导方法

权申明1,2, 王松艳1, 晁涛1,*, 杨明1   

  1. 1. 哈尔滨工业大学控制与仿真中心, 黑龙江 哈尔滨 150080
    2. 上海机电工程研究所, 上海 201109
  • 收稿日期:2022-05-07 出版日期:2023-06-30 发布日期:2023-07-11
  • 通讯作者: 晁涛
  • 作者简介:权申明(1992—), 男, 博士研究生, 主要研究方向为飞行器制导与控制技术
    王松艳(1976—), 女, 副教授, 博士, 主要研究方向为飞行器控制
    晁涛(1983—), 男, 副教授, 博士, 主要研究方向为飞行器制导控制与仿真评估
    杨明(1963—), 男, 教授, 博士, 主要研究方向为复杂系统仿真、仿真校核、验证与验收、飞行器制导与控制技术、高精度测量
  • 基金资助:
    国家自然科学基金(61627810);国家自然科学基金(61790562);国家自然科学基金(61403096)

Reentry guidance method based on improved artificial potential field method

Shenming QUAN1,2, Songyan WANG1, Tao CHAO1,*, Ming YANG1   

  1. 1. Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China
    2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
  • Received:2022-05-07 Online:2023-06-30 Published:2023-07-11
  • Contact: Tao CHAO

摘要:

针对带有禁飞区的高超声速飞行器再入制导问题, 基于改进人工势场法(artificial potential field method, APFM)提出一种再入制导方法。在纵向上, 将动压、过载、热流过程约束视为“虚拟障碍”, 将终端高度、速度视为“虚拟目标点”进行纵向轨迹设计。然后, 改进纵向人工势场函数以适应跳跃式和平衡滑翔式再入两种弹道形式的轨迹设计。为了整体考虑禁飞区对三维轨迹的影响, 设计双层预测-校正算法求解待调参数。仿真结果表明, 所提出的改进APFM规划方法能够适应不同类型的禁飞区形状, 相比现有方法可适应横程需求更大的目标点, 参数调节简单, 易于工程实现。

关键词: 再入制导, 禁飞区, 虚拟障碍, 改进人工势场法

Abstract:

Aiming at the reentry guidance of hypersonic vehicles with no-fly zones, a three-dimensional guidance method is proposed based on the improved artificial potential field method (APFM). In the longitudinal direction, dynamic pressure, overload, and heat flow process constraints are regarded as virtual obstacles, and terminal altitude and speed are regarded as virtual target. Then, the longitudinal artificial potential field function is improved to adapt to the trajectory design of skip reentry trajectory and quasi-equilibrium gliding trajectory. A double layer predictive-correction algorithm is designed to solve the adjustable parameters to consider the effect of no-fly zones on three-dimensional trajectory. The simulation results show that the proposed improved APFM can adapt to different types of no-fly zone shapes. It can adapt to target points with larger crossrange requirements than existing methods. The parameters are simple to adjust and easy to implement in engineering.

Key words: reentry guidance, no-fly zones, virtual obstacles, improved artificial potential field method (APFM)

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