论文部分内容阅读
文章针对平流层飞艇驻空阶段航迹规划问题进行研究和仿真分析。考虑平流层飞艇自身飞行的特点,建立其运动学方程和风场模型,并在适当假设基础上,构造能够反映其飞行能耗的代价函数。最后采用遗传算法进行算例计算,求解平流层飞艇最优轨迹。仿真结果表明,遗传算法能够有效、快速地收敛并稳定至问题的最优解;其所构造的代价函数能够反映飞艇自身飞行特点,并敏感于外界风场环境。
The paper studies and simulates the track planning problem of the stratospheric airship in the airspace. Considering the characteristics of the stratospheric airship’s own flight, the kinematics equation and the wind field model are established. Based on the appropriate assumptions, a cost function reflecting the energy consumption of the flight is constructed. Finally, genetic algorithm is used to calculate the optimal solution of the stratosphere airship. The simulation results show that the genetic algorithm can converge and stabilize to the optimal solution effectively and quickly. The cost function constructed by this method can reflect the characteristics of the airship’s own flight and is sensitive to the external wind environment.