摘要
本文针对运载火箭上升段的轨迹优化问题的高度不确定性和严格的飞行过程约束,利用了模型预测控控制(MPC)方法来构建最优控制问题,并将其采用多重打靶法转换为非线性规划(NLP)问题,最后采用内点法进行了在线求解。本文通过利用MPC的在线预测与优化能力减小不确定性影响,以及MPC的过程约束处理能力处理强约束条件,仿真结果表明该方法能有效适应不确定性及过程约束要求。
A model predictive control (MPC) based trajectory optimization method is used in this paper for the high uncertainty and strict flight process constraints at the ascending stage of the launch vehicle. The model predictive control (MPC) method is used to construct the optimal control problem, and the multiple shooting method is used to convert it into a nonlinear planning (NLP) problem. At last, the interior point method was used to solve online. By using MPC's online prediction and optimi-zation capabilities to reduce the impact of uncertainty, and MPC's process constraint processing capabilities to deal with strong constraints, the simulation results show that the method can effec-tively adapt to uncertainties and process constraints.
出处
《国际航空航天科学》
2020年第3期49-59,共11页
Journal of Aerospace Science and Technology
关键词
模型预测控制(MPC)
轨迹优化
多重打靶法
Model Predictive Control (MPC)
Trajectory Optimization
Multiple Shooting Method
