基于PSO算法的脉冲修正弹控制参数优化*

针对脉冲修正弹自身控制离散不连续特征,开展了脉冲修正弹脉冲控制参数优化设计方法研究。考虑到脉冲成本和精度的双重要求,选择以脉冲发动机工作次数和脱靶量最少为双目标函数,并在风干扰的条件下,提出了以脉冲控制时间间隔为离散脉冲控制参数设计变量建立优化模型,以此发展了一种改进型递减惯性权重粒子群优化脉冲控制参数的方法,提高了修正参数优化收敛速度。仿真结果表明,该算法能快速有效地获得最优解,为在干扰条件下寻找最优的脉冲修正参数和脉冲工作方式提供了一种优化设计思路。

Optimization Design for Impulse-Correction Projectile Based on Particle Swarm Optimization Method

According to the discontinuous characteristics of impulse correction projectile, this paper presents a class of parameters optimization method for its control system. Considering the two requirements of the correction cost and precision of impulse thrusters, the minimum amount of numbers of impulse thrusters and the control miss-distance are taken as a double-objective function, and it is put forward to select the time interval between the two neighboring impulse forces as design variable in condition of wind disturbance. Then on basis of it, a kind of modified particle swarm optimization algorithm is developed to improve the convergence speed of this optimization process. The simulation result indicates that the presented optimization algorithm can obtain the optimal solution efficiently, which provides a reference approach to find the optimal impulse correction parameters and work modes under wind disturbance.