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研究基于遗传算法的太阳帆行星际转移轨道的全局优化问题.通过极小值原理推导了太阳帆全局优化控制律,并以太阳帆飞行时间最短为优化目标函数,运用遗传算法对发射时间、到达时间和协态变量初值进行参数优化设计.为了解决轨道转移这一多约束优化问题,在遗传算法中加入动态罚函数.在此理论基础上作了从地球同步轨道出发到火星同步轨道转移和从地球出发与火星交会两个算例,仿真结果表明了该方法在太阳帆转移轨道全局优化中的有效性.
The global optimization of solar sail interplanetary orbit is studied based on genetic algorithm.The global optimal control law of solar sail is deduced by the principle of minimum and the optimal objective function is obtained by taking the shortest solar flight time as the optimal objective function.The genetic algorithm is used to calculate the emission time, Time and the initial value of the covariate variable parameter optimization.In order to solve the multi-constrained optimization problem of orbital transfer, a dynamic penalty function is added to the genetic algorithm.On the basis of this theory, the geostationary orbitals Two examples are given, starting from the Earth and meeting with Mars. The simulation results show the effectiveness of this method in the global optimization of the solar orbit transfer orbit.