摘要
针对升力式飞行器再入终端需要满足窗口约束条件的情况,提出了一种基于模型预测算法的再入轨迹优化方法。该方法利用预测模型和滚动优化策略将非线性多约束优化问题转化为线性优化目标函数,并采用二次规划法求解该轨迹优化问题,得到了满足相应约束的亚轨道再入轨道。以某升力式再入飞行器为对象进行了纵向轨迹优化计算,仿真结果验证了该轨迹优化方法具有较高的精度和计算效率。
A rapid reentry trajectory planning method based on nonlinear model prediction theory is studied for the new lifting reentry vehicle with many constraints.Since the lifting reentry characters and mission requires need to satisfy strong terminal constraints,the nonlinear predictive model and the receding optimization scheme are used to convert the nonlinear optimization into the linear optimization objection,and a quadratic programming is used to solve it.The simulation results show that the proposed method can generate a high precision reentry trajectory with strong terminal constraints.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2014年第4期552-557,共6页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
轨迹优化
模型预测控制
终端约束
亚轨道再入
trajectory optimization
model predictive control
terminal constraint
suborbital reentry
