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In-flight compound homing methodology of parafoil delivery systems under multiple constraints

机译：多约束下机翼交付系统的空中复合归巢方法

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摘要

In order to realize accurate and secure homing control of the parafoil delivery systems under multiple constraints, an in-flight compound homing methodology is designed in this paper. It consists of the modeling of parafoil delivery systems, a trajectory optimization method based on quantum genetic algorithm, a control approach based on active disturbance rejection control. Firstly, the precise model of parafoil delivery system is established by the actual flight data. Then, in order to restrain the wind disturbance, a novel wind identification method is introduced into the trajectory optimization method. Combining the wind identification method and terrain-matching, the proposed trajectory optimization method highlights its improvement from the traditional homing approach. It can not only obtain an optimal trajectory in windy environment, but also maintain the essential advantage of the multiphase homing methodology – great realizability. Then, the ADRC controller is designed. It is applied to resist the varying wind and other disturbance. At last, the hardware-in-the-loop simulation results show that the proposed compound homing methodology can achieve excellent effects both in the trajectory optimization and trajectory tracking. In this paper, the proposed methodology is also compared with the trajectory optimization based on chaos particle swarm optimization method and the PID technology of the trajectory tracking. The results also present huge improvement and wide application prospect.
机译：为了在多种约束下实现对翼型投放系统的精确，安全的归位控制，本文设计了一种机载复合归位方法。它由机翼输送系统的建模，基于量子遗传算法的轨迹优化方法，基于主动干扰抑制控制的控制方法组成。首先，通过实际的飞行数据建立了精确的副翼输送系统模型。然后，为了抑制风的干扰，将一种新颖的风识别方法引入到轨迹优化方法中。结合风识别方法和地形匹配方法，提出的轨迹优化方法突出了其对传统归巢方法的改进。它不仅可以在有风的环境中获得最佳轨迹，而且还可以保持多相归位方法的基本优势–高度可实现性。然后，设计ADRC控制器。它用于抵抗变化的风和其他干扰。最后，半实物仿真结果表明，所提出的复合寻的方法在弹道优化和弹道跟踪中均能取得良好的效果。本文还将所提出的方法与基于混沌粒子群优化方法的轨迹优化和轨迹跟踪的PID技术进行了比较。结果也提出了巨大的改进和广阔的应用前景。

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