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      Control Allocation Strategy for Optimal Digital Microthruster Arrays in Orbit Control Applications

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          Abstract

          Digital microthruster arrays can be used to propel micro/nanosatellites on missions requiring high precision and low impulse. This paper presents a novel control allocation strategy for digital microthruster arrays, called segment distribution and stratification addressing (SD-SA) algorithm, which aims to find the optimal combination of microthrusters to successfully achieve a given thrusting maneuver. The SD algorithm separates a thruster array into disjoint segments, and then the SA algorithm combines these segments to provide required impulses in a control task. Compared with traditional algorithms, the SD-SA algorithm costs less time and computational storage space. It is demonstrated through simulation that the SD-SA algorithm is effective for the real-time orbit control of micro/nanosatellites.

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          Cubesats: Cost-effective science and technology platforms for emerging and developing nations

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            Is Open Access

            Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

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              Digital micropropulsion

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                Author and article information

                Journal
                jsr
                Journal of Spacecraft and Rockets
                J. Spacecraft
                American Institute of Aeronautics and Astronautics
                0022-4650
                1533-6794
                26 February 2019
                May–June 2019
                : 56
                : 3
                : 836-843
                Affiliations
                Beihang University , 100191 Beijing, People’s Republic of China
                Author notes
                [*]

                Graduate Student, School of Energy and Power Engineering; zhangdandan@ 123456buaa.edu.cn . Student Member AIAA.

                [†]

                Graduate Student, School of Energy and Power Engineering; 13041024@ 123456buaa.edu.cn .

                [‡]

                Graduate Student, School of Energy and Power Engineering; dongk@ 123456buaa.edu.cn .

                [§]

                Professor, College of Automation Science and Electrical Engineering; shaopingwang@ 123456buaa.edu.cn .

                Article
                A34220 A34220
                10.2514/1.A34220
                8fe372f4-b01f-4e29-964b-f7e827247a61
                Copyright © 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-6794 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp.
                History
                : 10 February 2018
                : 26 August 2018
                : 17 January 2019
                Page count
                Figures: 10, Tables: 4
                Categories
                Full-Length Papers

                Engineering,Physics,Mechanical engineering,Space Physics
                Engineering, Physics, Mechanical engineering, Space Physics

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