@inproceedings{65d01876aac44f0295ba7fc2d4c2f55d,
title = "Profile-tracking entry guidance using adaptive global sliding mode control theory",
abstract = "Profile-tracking guidance of Reusable Launch Vehicle (RLV) is a challenging task due to dramatic aerodynamic data perturbations. A novel adaptive global sliding mode control (AGSMC) scheme is developed so that the closed-loop system shows invariance property to parameter uncertainties all the time. The approach designs a global sliding mode surface based on optimization theory and uses adaptive technology to estimate the uncertain items of the system so as to alleviate the chattering. Numerical simulations for profile-tracking under the condition of aerodynamic data perturbations are presented to demonstrate the capability and effectiveness of the proposed algorithm.",
keywords = "RLV, adaptive control, global sliding mode control, optimization theory",
author = "Yu Hu and Zhang Ren and Zhen Shen and Xin Qu and Peng Jiang",
year = "2011",
doi = "10.1109/ICECENG.2011.6057718",
language = "英语",
isbn = "9781424481637",
series = "2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings",
pages = "751--754",
booktitle = "2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings",
note = "2nd Annual Conference on Electrical and Control Engineering, ICECE 2011 ; Conference date: 16-09-2011 Through 18-09-2011",
}