Resident Trajectory Optimization for Stratospheric Airships

摘要：

　　Resident trajectory optimization is addressed for a stratospheric Airship.The equations of motion for the airship include the factors about aerodynamic force,added mass and wind profiles are developed based on horizontal-wind model.For minimum penalty which consists of the resident error,the derivative of state variables and the energy cost during resident,a trajectory optimization problem is constructed and then converted into a dynamic programming problem by a reinforcement learning(RL)method.In different scenarios,the optimal trajectory is found by the receding horizon differential dynamic programming(RH-DDP).For the minimum resident penalty trajectory,the RH-DDP solutions which have a 57.85%and 67.3%CUP idle rate in the two cases,state that the RH-DDP method can satisfy the demands of real-time computation during resident.

关键词： Airship residence trajectory optimation receding horizon differential dynamic programming

作者: ZHU Ming LI Leiyun GUO Xiao ZHENG Zewei

作者单位: School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics,Beij School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics,Beij

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8962-8967

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）