Data-driven model-free adaptive sliding mode attitude control of combined spacecraft

Yueyong Lyu; Zhaowei Sun; Han Gao; Yuhan Liu

Data-driven model-free adaptive sliding mode attitude control of combined spacecraft

Yueyong Lyu, Zhaowei Sun, Han Gao, Yuhan Liu

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a data-driven model-free adaptive sliding mode attitude control (MFASMC) method is proposed for the combined spacecraft in the presence of unknown mathematical model. First, a model-free adaptive controller (MFAC) is designed for the attitude control of combined spacecraft. Second, a sliding-mode-based supplementary controller is introduced to improve the tracking performance of MFAC in terms of robustness. Compared with the existing works, the designed control scheme only utilizes the attitude angle and attitude angular velocity of the combined spacecraft and no mechanism model of combined spacecraft is required. It dramatically decreases the complexity and difficulty of the relevant controller design. Finally, simulation comparison between the MFASMC and MFAC is given to verify the effectiveness of the proposed control method.

Original language	English
Title of host publication	Spaceflight Mechanics 2019
Editors	Francesco Topputo, Andrew J. Sinclair, Matthew P. Wilkins, Renato Zanetti
Publisher	Univelt Inc.
Pages	4153-4162
Number of pages	10
ISBN (Print)	9780877036593
Publication status	Published - 2019
Externally published	Yes
Event	29th AAS/AIAA Space Flight Mechanics Meeting, 2019 - Maui, United States Duration: 13 Jan 2019 → 17 Jan 2019

Publication series

Name	Advances in the Astronautical Sciences
Volume	168
ISSN (Print)	0065-3438

Conference

Conference	29th AAS/AIAA Space Flight Mechanics Meeting, 2019
Country/Territory	United States
City	Maui
Period	13/01/19 → 17/01/19

Cite this

@inproceedings{996b8a4c1ea84579a6ed44e6c304740e,

title = "Data-driven model-free adaptive sliding mode attitude control of combined spacecraft",

abstract = "In this paper, a data-driven model-free adaptive sliding mode attitude control (MFASMC) method is proposed for the combined spacecraft in the presence of unknown mathematical model. First, a model-free adaptive controller (MFAC) is designed for the attitude control of combined spacecraft. Second, a sliding-mode-based supplementary controller is introduced to improve the tracking performance of MFAC in terms of robustness. Compared with the existing works, the designed control scheme only utilizes the attitude angle and attitude angular velocity of the combined spacecraft and no mechanism model of combined spacecraft is required. It dramatically decreases the complexity and difficulty of the relevant controller design. Finally, simulation comparison between the MFASMC and MFAC is given to verify the effectiveness of the proposed control method.",

author = "Yueyong Lyu and Zhaowei Sun and Han Gao and Yuhan Liu",

year = "2019",

language = "English",

isbn = "9780877036593",

series = "Advances in the Astronautical Sciences",

publisher = "Univelt Inc.",

pages = "4153--4162",

editor = "Francesco Topputo and Sinclair, {Andrew J.} and Wilkins, {Matthew P.} and Renato Zanetti",

booktitle = "Spaceflight Mechanics 2019",

address = "United States",

}

Lyu, Y, Sun, Z, Gao, H & Liu, Y 2019, Data-driven model-free adaptive sliding mode attitude control of combined spacecraft. in F Topputo, AJ Sinclair, MP Wilkins & R Zanetti (eds), Spaceflight Mechanics 2019., AAS 19-313, Advances in the Astronautical Sciences, vol. 168, Univelt Inc., pp. 4153-4162, 29th AAS/AIAA Space Flight Mechanics Meeting, 2019, Maui, United States, 13/01/19.

Data-driven model-free adaptive sliding mode attitude control of combined spacecraft. / Lyu, Yueyong; Sun, Zhaowei; Gao, Han et al.
Spaceflight Mechanics 2019. ed. / Francesco Topputo; Andrew J. Sinclair; Matthew P. Wilkins; Renato Zanetti. Univelt Inc., 2019. p. 4153-4162 AAS 19-313 (Advances in the Astronautical Sciences; Vol. 168).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data-driven model-free adaptive sliding mode attitude control of combined spacecraft

AU - Lyu, Yueyong

AU - Sun, Zhaowei

AU - Gao, Han

AU - Liu, Yuhan

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Y1 - 2019

N2 - In this paper, a data-driven model-free adaptive sliding mode attitude control (MFASMC) method is proposed for the combined spacecraft in the presence of unknown mathematical model. First, a model-free adaptive controller (MFAC) is designed for the attitude control of combined spacecraft. Second, a sliding-mode-based supplementary controller is introduced to improve the tracking performance of MFAC in terms of robustness. Compared with the existing works, the designed control scheme only utilizes the attitude angle and attitude angular velocity of the combined spacecraft and no mechanism model of combined spacecraft is required. It dramatically decreases the complexity and difficulty of the relevant controller design. Finally, simulation comparison between the MFASMC and MFAC is given to verify the effectiveness of the proposed control method.

AB - In this paper, a data-driven model-free adaptive sliding mode attitude control (MFASMC) method is proposed for the combined spacecraft in the presence of unknown mathematical model. First, a model-free adaptive controller (MFAC) is designed for the attitude control of combined spacecraft. Second, a sliding-mode-based supplementary controller is introduced to improve the tracking performance of MFAC in terms of robustness. Compared with the existing works, the designed control scheme only utilizes the attitude angle and attitude angular velocity of the combined spacecraft and no mechanism model of combined spacecraft is required. It dramatically decreases the complexity and difficulty of the relevant controller design. Finally, simulation comparison between the MFASMC and MFAC is given to verify the effectiveness of the proposed control method.

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M3 - Conference contribution

AN - SCOPUS:85072985663

SN - 9780877036593

T3 - Advances in the Astronautical Sciences

SP - 4153

EP - 4162

BT - Spaceflight Mechanics 2019

A2 - Topputo, Francesco

A2 - Sinclair, Andrew J.

A2 - Wilkins, Matthew P.

A2 - Zanetti, Renato

PB - Univelt Inc.

T2 - 29th AAS/AIAA Space Flight Mechanics Meeting, 2019

Y2 - 13 January 2019 through 17 January 2019

ER -

Data-driven model-free adaptive sliding mode attitude control of combined spacecraft

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