摘要
针对传统再入轨迹优化方法收敛速度慢、对初值敏感程度高等局限性,提出一种基于序列凸优化的再入轨迹快速求解方法。该方法以倾侧角的变化率作为控制量,为抑制数值优化过程中的锯齿化现象,采用B样条曲线离散控制量,同时增加额外虚拟控制量,通过一种回溯直线搜索的方法,提高算法的稳定性、快速性和寻优结果的光滑性。最后,以美国某可重复使用飞行器的再入任务为例,验证了基于序列凸优化的再入轨迹优化方法的快速性及准确性。
Aiming at the limitation of slow convergence speed and high sensitivity to initial value of traditional reentry trajectory optimization method,a fast algorithm for reentry trajectory based on convex optimization is proposed.The change rate of inclination angle is taken as the control variable and B-spline curve is used to discretize the control variable by applying this method which can effectively suppress the sawtooth phenomenon in the process of numerical optimization.At the same time,an additional virtual control and a backtracking straight line search method are added to improve the stability of the algorithm for improving the stability,rapidity and smoothness of the algorithm.Finally,by taking the reentry mission of a reusable aircraft in the United States as an example,the rapidity and accuracy of reentry trajectory optimization method based on sequence convex optimization are verified.
作者
杨奔
李天任
马晓媛
Yang Ben;Li Tianren;Ma Xiaoyuan(China Academy of Launch Vehicle Technology,Beijing 100071,China)
出处
《航天控制》
CSCD
北大核心
2020年第3期25-30,共6页
Aerospace Control
关键词
凸优化
B样条曲线
回溯直线搜索
再入轨迹
Convex optimization
B-spline curve
Backtracking straight line search
Entry trajectory
