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Abstract
This paper investigates the attitude tracking control system design for reusable launch vehicle (RLV) in re-entry phase with input constraint, model uncertainty and external disturbance. The novel control scheme is designed via combining the advantages of the robust property of sliding mode control (SMC), the compensation ability of disturbance observer (DOB) and the systematic design procedure of backstepping technique. By applying DOB technique to estimate the lumped uncertainty, there is no need to choose the switch gain larger than the bound of uncertainty. Through designing the exponential form sliding surface and smooth sliding mode controller, the chattering and discontinuous problem inherent in the traditional SMC is alleviated. An additional system is constructed to handle input constraint. Based on Lyapunov theory, the asymptotic stability of the closed-loop system is proven. At last, compared simulations are presented to verify the effectiveness of the proposed control approach.
Acknowledgements
The authors would like to greatly appreciate editor and all anonymous reviewers for their comments, which help to improve the quality of this paper.
Disclosure statement
No potential conflict of interest was reported by the authors.
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Notes on contributors
Fang Wang
Fang Wang received her M.S. degree in Computational Mathematics from Yanshan University, Hebei, China, in 2008. In 2014, she received his Ph.D. degree in control theory and control engineering from Tianjin University, Tianjin, China. She is currently a lecturer in Yanshan University. She is the author or coauthor of more than 30 papers in technical journals, and conferences. She has been involved in projects supported by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and other important foundations. Her major research interests include nonlinear control theories, adaptive control, robust control, guidance and control of aircraft.
Changchun Hua
Changchun Hua received the Ph. D degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2005. He was a research Fellow in National University of Singapore from 2006 to 2007. From 2007 to 2009, he worked in Carleton University, Canada, funded by Province of Ontario Ministry of Research and Innovation Program. From 2009 to 2011, he worked in University of Duisburg-Essen, Germany, funded by Alexander von Humboldt Foundation. Now he is a Professor in Yanshan University, China. He is the Scholars of the Yangtze River. He is the author or coauthor of more than 150 papers in mathematical, technical journals, and conferences. He has been involved in more than 10 projects supported by the National Science Fund for Distinguished Young Scholars of China, the National Natural Science Foundation of China, the National Education Committee Foundation of China, and other important foundations. His research interests are in nonlinear control systems, control systems design over network, teleoperation systems and intelligent control.
Qun Zong
Qun Zong was born in Tianjin, China, in 1961. He received the Bachelor’s, Master’s, and Ph.D. degrees in automatic control from Tianjin University, Tianjin, in 1983, 1995, and 2002, respectively. Since 1983, he has been with the School of Electrical Engineering and Automation, Tianjin University, where he is currently a Professor. He is the author or coauthor of more than 120 papers in technical journals, and conferences. He has been involved in more than 30 projects supported by the National Natural Science Foundation of China, the National Education Committee Foundation of China, and other important foundations. His main research interests include complex system modeling and flight control.