系统工程与电子技术

• 制导、导航与控制 • 上一篇    下一篇

多约束条件下非连续助推弹道方案设计与优化

程仙垒, 彭双春, 郑伟, 汤国建   

  1. 国防科学技术大学航天科学与工程学院, 湖南 长沙 410073
  • 出版日期:2015-03-18 发布日期:2010-01-03

Discontinuous boosting trajectory project design and optimization with multi constraints

CHENG Xian-lei, PENG Shuang-chun, ZHENG Wei, TANG Guo-jian   

  1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • Online:2015-03-18 Published:2010-01-03

摘要:

研究了考虑动压、过载、控制量以及终端状态等多约束条件下的非连续助推弹道方案设计与优化问题。首先,结合最优控制理论,推导了脉冲作用期间的飞行程序;然后,在综合考虑弹道约束条件的基础上,合理设计非连续助推弹道方案;最后,针对经典粒子群算法收敛速度慢、易陷入局部最优解的缺点,采取了惯性权重自适应变化及扰动策略,以适应复杂弹道优化问题。仿真算例及结果表明,设计的非连续助推弹道方案能够满足各项约束,改进的粒子群算法能有效解决多约束下非连续助推弹道优化问题,优化方案的射程比原方案提高了6.69%,比连续助推弹道提高了14.09%,优势较明显。

Abstract:

An optimum design method is proposed to tackle the design and optimization problem of the discontinuous boosting trajectory with multi constraints including dynamic pressure, overload, controls, and terminal states. First, trajectory flight project during the boost phase is derived combined with the optimal control theory. Second, the reasonable discontinuous boosting trajectory project is designed in consideration of multi constraints. Finally, the optimization algorithm is modified by adopting the adaptive inertia weight and disturbance strategy to improve the convergence rate of the classic particle swarm optimization algorithm and avoid the premature convergence problem. The results of the simulation experiment show that the designed discontinuous boosting trajectory project is reasonable with all constraints satisfied, and the improved particle swarm optimization algorithm could resolve the problem of the discontinuous boosting trajectory with multi constraints. The range of the optimization scheme is 6.69% more than primary scheme and has a marked increase by 14.09% than the continuous boosting trajectory.