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Ascending Trajectory Optimization of Stratospheric Airship Based on Genetic Algorithm

机译:基于遗传算法的平流层飞艇上升轨迹优化

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The energy consumption of stratospheric airship during the ascending phase has an direct effect on its payload capability. Because of that, it is necessary to research on trajectory optimization of airship. At first, the models of various wind interference are given from the ground to the stratosphere and the trajectory optimization scheme of airship based on numerical method is proposed. Secondly, direct collocation method will be used to convert the optimal control problem into a parameter optimization problem, then Genetic Algorithm(GA) will be used to solve the nonlinear programming. Thirdly, the ascending trajectory is divided into three phases according to the altitude and wind interference. Finally, the simulation results of the trajectory optimization from ground to the appointed position under the consideration of wind interference will be shown.
机译:平流层飞艇在上升阶段的能耗直接影响其有效载荷能力。因此,有必要对飞艇的轨迹优化进行研究。首先给出了从地面到平流层的各种风干扰模型,提出了基于数值方法的飞艇弹道优化方案。其次,采用直接配置方法将最优控制问题转化为参数优化问题,然后采用遗传算法求解非线性规划问题。第三,根据高度和风的干扰,上升轨迹分为三个阶段。最后,将给出考虑到风干扰的从地面到指定位置的轨迹优化的仿真结果。

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