@inproceedings{492c8444dfcc4f7396e982c1d85aff34,
title = "New Iterative Guidance for Launch Vehicle with Quadratic Optimization",
abstract = "This paper investigates the iterative guidance mode for launch vehicle. In order to improve the precision of the guidance system and minimize the flight time, the iterative guidance mode derived from quadratic optimization method, to obtain minimal energy control for launch vehicle. At the same time, the optimal control vector of the guidance command is obtained based on the Hamiltonian equation, and the analytical solutions and the initial value of the adjoint variables are obtained by double integration. Finally, numerical simulation is demonstrated that the performance of the new iterative guidance mode for launch vehicle can achieve the desired performance. In addition, 500 times Monte-Carlo simulation results show the performance of the iterative guidance mode is better than the traditional iterative guidance.",
keywords = "Iterative guidance, Launch vehicle, Monte-Carlo Method, Optimal control, Quadratic optimization",
author = "Jianguo Guo and Shengjiang Yang and Jun Zhou",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CCDC.2019.8832390",
language = "英语",
series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5346--5349",
booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
}