哈尔滨工程大学学报2016，Vol.37Issue(9)：1261-1268,8.DOI:10.11990/jheu.201507004
基于量子遗传算法的翼伞系统归航轨迹规划
Homing trajectory planning of parafoil system based on quantum genetic algorithm
摘要
Abstract
Trajectory planning is the core task in the autonomous homing of a parafoil system. In this paper, we es⁃tablish a mathematical model for homing trajectory planning, and present an optimal homing trajectory planning method for parafoil systems based on an improved quantum genetic algorithm. In this method, we first adopt a non⁃uniform B⁃spline curve to fit the control law, so as to transform the problem of the optimal control of trajectory plan⁃ning into a parameter optimization problem of the control vertices of the B⁃spline basis function. Then, using the im⁃proved quantum genetic algorithm, we optimize the objective function, and plan the homing trajectory of the parafoil system. We conducted simulation experiments under different initial states in the real environment. The results show that the method is effective for homing trajectory planning, and the obtained optimized control laws and homing traj⁃ectories meet the homing control feature requirements of parafoil systems.关键词
量子遗传算法/翼伞系统/归航轨迹规划/最优设计/小生境协同进化Key words
quantum genetic algorithm/parafoil system/homing trajectory planning/optimal design/coevolution of niche分类
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陶金,孙青林,朱二琳,陈增强,贺应平..基于量子遗传算法的翼伞系统归航轨迹规划[J].哈尔滨工程大学学报,2016,37(9):1261-1268,8.基金项目
国家自然科学基金资助项目（61273138）；天津市重点基金资助项目（14JC2D5C39300）． （）
