Reference : Model Predictive Control for Spacecraft Rendezvous

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/30982

Title :	Model Predictive Control for Spacecraft Rendezvous
Language :	English
Author, co-author :	Kannan, Somasundar [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sajadi Alamdari, Seyed Amin [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Dentler, Jan Eric [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Olivares Mendez, Miguel Angel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Voos, Holger [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Publication date :	2016
Main document title :	4th International Conference on Control, Mechatronics and Automation ICCMA '16, Barcelona, Spain, 2016
Publisher :	ACM
Pages :	121-125
Peer reviewed :	Yes
Audience :	International
City :	Barcelona
Country :	Spain
Event name :	4th International Conference on Control, Mechatronics and Automation ICCMA '16
Event date :	2016
Keywords :	[en] Collision Avoidance ; Model predictive control ; Spacecraft Rendezvous
Abstract :	[en] The current paper addresses the problem of Spacecraft Rendezvous using Model Predictive Control (MPC). The Clohessy-Wiltshire-Hill equations are used to model the spacecraft relative motion. Here the rendezvous problem is discussed by trajectory control using MPC method. Two different scenarios are addressed in trajectory control. The first scenario consist of position control with fuel constraint, secondly the position control is performed in the presence of obstacles. Here the problem of fuel consumption and obstacle avoidance is addressed directly in the cost function. The proposed methods are successfully analysed through simulations.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/30982
DOI :	10.1145/3029610.3029633
Other URL :	http://doi.acm.org/10.1145/3029610.3029633

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