摘要
归航轨迹的设计和优化对实现翼伞系统的精确空投至关重要。为了实现翼伞系统的准确、安全着陆,根据翼伞系统自身的可操纵性和基本运动特性,采用经典分段归航策略。利用各段轨迹的几何关系将轨迹优化问题转化为参数优化问题,并对基本遗传算法进行了改进,运用新的改进自适应遗传算法(IAGA)进行了有效的求解。仿真试验表明:此方法是可行的,并且所提出的算法可以有效地防止早熟,收敛速度更快;得到的归航轨迹也基本上能够实现定点和逆风着陆的要求。
Design and optimization of homing trajectory is essential for accurate aerial delivery of parafoil system. In order to realize accurate and safe landing of parafoil system, classic multiphase homing trajectory was adopted according to the maneuverability and basic flight characters of the parafoil itself. The trajectory optimization issue was transformed into a parameter optimization issue by use of the geometric relationship between each trajectory. Then the basic genetic algorithm was improved, and an effective solution was obtained by using the Improved Adaptive Genetic Algorithm （IAGA）. The result of simulatior/demonstrated that ： 1 ） the method is feasible ; 2） the proposed algorithms can prevent premature convergence and improve convergence speed efficiently ; and 3 ） the designed homing trajectory can fullfil the requirements of fixed- point landing and upwind landing.
出处
《电光与控制》
北大核心
2011年第2期69-72,共4页
Electronics Optics & Control
基金
航空科学基金和电光控制技术国防科技重点实验室联合基金
关键词
轨迹规划
翼伞
风坐标系
分段归航
遗传算法
优化设计
trajectory programming
parafoil
wind coordinate system
multiphase homing
geneticalgorithm
optimal design
