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Particle Swarm Optimization Applied to Coplanar Orbital Transfers using Finite Variable Thrust

机译:粒子群优化应用于使用有限可变推力的共面轨道转移

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This article proposes a new approach to accomplish the mission of orbital transfer using the two finite variable thrusts. This problem requires attaining the two optimal time histories of the acceleration in the each thrust arc, which can be expressed as a polynomial function of time, and taking the corresponding coefficients as potential solutions can be obtained by using the particle swarm optimization technique. Furthermore, combining with penalty function method to solve the trajectory terminal constraints problems make final states completely free without and with rendezvous problem. Then, the optimal values of all the unknown parameters of the problem under considering the minimum fuel-consumption are obtained. Both the initial and final states of the trajectory are considered with unknown and known. In order to avoid collision with on-orbit spacecraft at the final orbit, the transfer trajectory should not be intersection with the final orbit except the final states. Finally, for the four trajectories optimization problems, the numerical results shown that the minimum-fuel can be obtained by considering the unknown or known coast arc.
机译:本文提出了一种新的方法,可以使用两个有限可变推力来完成轨道转移的使命。该问题需要达到每个推力弧中的加速度的两个最佳时间历史,其可以表达为时间的多项式函数,并且通过使用粒子群优化技术可以获得作为潜在解决方案的相应系数。此外,与惩罚函数方法组合以解决轨迹终端约束问题问题,使最终状态完全没有,没有与共同的问题。然后,获得了考虑最小燃料消耗的问题的所有未知参数的最佳值。轨迹的初始和最终状态都被认为是未知和已知的。为了避免在最终轨道上与在轨道航天器进行碰撞,转移轨迹不应该与除最终状态以外的最终轨道交叉。最后,对于四个轨迹优化问题,可以通过考虑未知或已知的海岸弧来获得最小燃料的数值结果。

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