基于遗传算法的平流层飞艇路径规划设计

利用传统线性化方法--小扰动法将模型线性化,结合平流层飞艇的工作特性,把飞艇上升运动看成是纵向基准运动和横侧向扰动运动.然后采用最小值原理,根据飞艇的控制量和边界条件,设计和优化飞艇的上升轨迹,其性能目标函数是从初始点到目标点运动过程中能量消耗最小.利用遗传算法,在运动模型和控制量变化的共同约束作用下,求取目标函数的最小值.最后根据飞艇实际工作过程,对仿真结果分析表明,该方法具有实际应用价值.

Stratosphere Airship Path Planning and Design Based on Genetic Algorithm

Combining the operating characteristics of the airship and the traditional linear methods—the small perturbation methond to linearing the model,this paper looks the rising movement of the airship as a vertical datum and lateral perturbation movement.Then,using the minimum principle to design and optimize the rising trajectory according to the control variables and boundary con-ditions of the airship.The performance objective function is the energy consumption of the movement from the initial point to the target point.With genetic algorithm,this paper can get the minimum of the objective function under the constraint of the model and changeable control variables.Finally,the simulation results show that this method is practical.