国防科技大学学报2025，Vol.47Issue(3)：51-63,13.DOI:10.11887/j.cn.202503006
针对运载火箭上升段考虑大风区减载的智能姿态控制方法
Intelligent attitude control method of launch vehicle during ascending phase considering load reduction in high wind zone
摘要
Abstract
To address the aerodynamic load reduction requirement when the launch vehicle flying in high wind zone during the ascending phase,an intelligent attitude control method with adaptive learning rate was proposed.Taking a certain type of launch vehicle as the research object,the dynamic model in the pitch plane was established.A deep reinforcement learning framework suitable for flight control of the launch vehicle during the ascending phase was developed based on soft actor-critic,and a reward function that comprehensively considers attitude tacking accuracy and stability,and load reduction effectiveness was designed.On this basis,an adaptive iteration of learning rate was implemented based on a step-size learning rate scheduler to quickly improve the convergence velocity and find the optimal solution of the controller.Besides,an early stopping mechanism which can automatically end the training process was designed to enhance the training efficiency.Simulations show that the proposed method can effectively achieve load reduction of the launch vehicle while ensuring attitude tracking accuracy and stability.Additionally,it has strong robustness and adaptability to random wind disturbance.关键词
运载火箭/减载/姿态控制/深度强化学习/自适应学习率/阵风干扰Key words
launch vehicle/load reduction/attitude control/deep reinforcement learning/adaptive learning rate/wind disturbance引用本文复制引用
周首,杨豪,张士峰,白锡斌,王峰..针对运载火箭上升段考虑大风区减载的智能姿态控制方法[J].国防科技大学学报,2025,47(3):51-63,13.基金项目
国家自然科学基金资助项目(U21B2028) （U21B2028）
