高强

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:固体力学. 计算力学. 工程力学

办公地点:综合实验1号楼523

联系方式:qgao@dlut.edu.cn

电子邮箱:qgao@dlut.edu.cn

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Optimal guidance based on receding horizon control for low-thrust transfer to libration point orbits

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论文类型:期刊论文

发表时间:2013-06-01

发表刊物:ADVANCES IN SPACE RESEARCH

收录刊物:SCIE、EI

卷号:51

期号:11

页面范围:2093-2111

ISSN号:0273-1177

关键字:Guidance law; Halo orbit transfer; Bicircular four-body problem; Receding horizon control; Generating function

摘要:This paper addresses the design and computation of a guidance law for a transfer mission from an orbit near the Earth to a halo orbit around the libration point L-2 in the Sun Earth system. The guidance law, which is designed based on receding horizon control and compensates for launch velocity errors that are introduced by inaccuracies of the launch vehicle, is solved using the generating function method. During the design of the closed-loop guidance law, the entire transfer mission, which is considered a nonlinear optimal control problem, is evaluated to obtain a nominal reference trajectory. Using the launch velocity errors and the uncertainty of the model, a spacecraft controlled by the proposed guidance law tracks the reference trajectory. Furthermore, the original Riccati differential equation in the receding horizon control algorithm is replaced by an equivalent convenient form of the Riccati differential equation that is based on the generating function. The high-efficiency solution of the equivalent equation avoids the online direct integration of the original Riccati differential equation, which significantly increases the computational efficiency for the receding horizon control problem. Numerical simulations using a nonlinear bicircular four-body model demonstrate the capabilities of the proposed receding horizon guidance law for the transfer mission. In addition, the generating function method improves the computational efficiency by at least one order of magnitude over the backward sweep method in solving the receding horizon control problem. (C) 2013 COSPAR. Published by Elsevier Ltd. All rights reserved.