椭圆轨道卫星编队飞行的最优控制研究

研究了椭圆轨道卫星编队飞行的队形保持问题,设计了李雅普诺夫(Lyapunov)控制律,并用遗传算法对控制律进行了优化。为克服遗传算法局部寻优能力差的缺点,对遗传算法进行了改进,设计了自适应模拟退火遗传算法。仿真结果表明,采用Lyapunov方法进行队形保持能提高位置保持的精度,且在经过遗传算法优化后,所消耗的燃料基本与线性二次型(LQR)方法一致;同时,减少了计算时间,有利于星上计算机的实现。

Optimal Control Method for Satellite Formation in Elliptical Orbit

A control law for formation keeping was designed using Lyapunov approach,and was optimized by genetic algorithm(GA).Then GA was improved to conquer the disadvantage of weak ability in local optimization.As a result,adaptive simulated annealing genetic algorithm(ASAGA) was developed.The simulation results show that after the optimization,the Lyapunov control law increases the position precision,consumes nearly the same quantity of fuel,and saves the computational time comparing with linear-quadratic regulation(LQR) approach,which is beneficial to implement by on-board computer system.