宇航学报

宇航学报 ›› 2012, Vol. 33 ›› Issue (3): 325-333.doi: 10.3873/j.issn.1000-1328.2012.03.007

• 制导、导航与控制 • 上一篇    下一篇

深空环境下卫星编队飞行队形重构实时重规划

黄海滨1,2, 马广富1, 庄宇飞1, 吕跃勇1   

  1. 1. 哈尔滨工业大学航天学院，哈尔滨 150001； 2. 哈尔滨工业大学（威海）信息与电气工程学院，威海 264200
  • 收稿日期:2011-02-28 修回日期:2011-10-21 出版日期:2012-03-15 发布日期:2012-03-16
  • 作者简介:10001328（2012）03032509
  • 基金资助:
    国家自然科学基金（61004072）；高等学校博士学科点专项科研基金（20102302110031）；中央高校基本科研业务费专项资金资助（HIT.KLOF.2010016）

Real-Time Re-Planning for Satellite Formation Reconfiguration in Deep Space

HUANG Hai-bin 1,2, MA Guang-fu 1, ZHUANG Yu-fei 1, LV Yue-yong 1   

  1. 1. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China；
    2. School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, Weihai 264200, China
  • Received:2011-02-28 Revised:2011-10-21 Online:2012-03-15 Published:2012-03-16

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摘要： 针对深空环境中卫星编队自主队形重构的机动问题，设计了队形重构过程中的实时重规划方案。在每次重规划过程中首先用Legendre伪谱法将当前时刻到终端时刻的重构问题离散化为非线性规划问题；其次，根据卫星编队飞行队形重构的特点，使用协同进化粒子群(CPSO)方法对每次重规划进行求解，该方法既避免了传统优化方法对复杂问题梯度的求解，又能在整个优化过程中保证约束条件的满足，并且能够事先为粒子群的进化提供大致方向，极大地提高了每次重规划的计算速度；最后，提出了重构过程中具体的重规划策略，以保证队形重构的顺利进行。仿真结果表明，与传统的控制方法相比，在重构过程中，该方法能够在初始给定轨迹的基础上进一步优化，可以有效降低重构过程的能量消耗，并能够避免重构过程中碰撞的发生。

关键词: 队形重构, 碰撞规避, 伪谱法, 协同进化粒子群, 实时重规划

Abstract: A real-time re-planning method for satellite formation reconfiguration in deep space is proposed in this paper. First, the Legendre pseudospectral method (LPM) is employed to transform the re-planning problem into an optimization nonlinear programming (NLP) problem from current configuration to the final configuration. Next, according to the feature of satellite formation reconfiguration, a co-evolutionary particle swarm optimization (CPSO) method is used during every re-planning. In this way, all the constraints could be satisfied during the entire optimization, and computational complexity for calculating the gradient information with traditional optimization methods could be avoided. Furthermore, the direction of optimization could be provided in advance, and makes the computation real-time. Then, the re-planning strategy is presented, which could make the reconfiguration work well. Simulation results demonstrate that compared with traditional control methods, this re-planning method could optimize the reconfiguration problem better than the given trajectories, decrease the energy consumption and guarantee collision avoidance during the entire reconfiguration.

Key words: Formation reconfiguration, Collision avoidance, Pseudospectral method, Co-evolutionary particle swarm optimization, Real-time re-planning

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