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翼伞系统是一类特殊的柔翼飞行器,由于其飞行速度较低,容易受到风场的影响.针对翼伞系统在较大风场中难以准确跟踪归航轨迹、实现精确着陆,因此将风场中平均风的影响在轨迹规划中予以考虑,采用一种改进的粒子群算法(particle swarm optimization,PSO)优化分段归航轨迹;将紊流的影响作为外界的干扰,由线性自抗扰控制器(linear active disturbance rejection controller,LADRC)进行修正.仿真结果表明,该归航控制方法对提高翼伞系统在较大风场环境下的抗风性能和归航精度有重要意义.
Wing umbrella system is a special kind of flexible wing aircraft, which is easily influenced by the wind field due to its low flying speed.For the wing umbrella system, it is difficult to accurately track the homeward trajectory in a large wind field and achieve an accurate landing, so the wind field The influence of the mean wind in the trajectory planning is considered. An improved Particle Swarm Optimization (PSO) is used to optimize the homing trajectory. The influence of turbulence is taken as external disturbance and controlled by linear auto-disturbance rejection The linear active disturbance rejection controller (LADRC) is modified.The simulation results show that this method is of great significance to improve the wind resistance performance and navigation precision of the wing umbrella system under the condition of large wind field.