Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations

Hong Wong; Vikram Kapila

doi:10.1109/CDC.2003.1271706

Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations

Hong Wong, Vikram Kapila

Mechanical and Aerospace Engineering

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

Abstract

This paper addresses a periodic trajectory tracking problem arising in spacecraft formation flying. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which learns a periodic, unknown model reference control. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a model reference control estimate are designed that facilitate the tracking of given periodic reference trajectories in the presence of unknown leader and follower spacecraft masses. Furthermore, using a discrete Lyapunov-type stability analysis, model reference control error is shown to converge to zero. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

Original language	English (US)
Title of host publication	Proceedings of the IEEE Conference on Decision and Control
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3597-3602
Number of pages	6
ISBN (Print)	0780379241
DOIs	https://doi.org/10.1109/CDC.2003.1271706
State	Published - 2003
Event	42nd IEEE Conference on Decision and Control - Maui, HI, United States Duration: Dec 9 2003 → Dec 12 2003

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	4
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Other

Other	42nd IEEE Conference on Decision and Control
Country/Territory	United States
City	Maui, HI
Period	12/9/03 → 12/12/03

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2003.1271706

Cite this

Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations. / Wong, Hong; Kapila, Vikram.
Proceedings of the IEEE Conference on Decision and Control. Institute of Electrical and Electronics Engineers Inc., 2003. p. 3597-3602 (Proceedings of the IEEE Conference on Decision and Control; Vol. 4).

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

Wong, H & Kapila, V 2003, Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations. in Proceedings of the IEEE Conference on Decision and Control. Proceedings of the IEEE Conference on Decision and Control, vol. 4, Institute of Electrical and Electronics Engineers Inc., pp. 3597-3602, 42nd IEEE Conference on Decision and Control, Maui, HI, United States, 12/9/03. https://doi.org/10.1109/CDC.2003.1271706

@inproceedings{14f4a675afd54150a9ed0039e6b08ae6,

title = "Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations",

abstract = "This paper addresses a periodic trajectory tracking problem arising in spacecraft formation flying. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which learns a periodic, unknown model reference control. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a model reference control estimate are designed that facilitate the tracking of given periodic reference trajectories in the presence of unknown leader and follower spacecraft masses. Furthermore, using a discrete Lyapunov-type stability analysis, model reference control error is shown to converge to zero. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.",

author = "Hong Wong and Vikram Kapila",

year = "2003",

doi = "10.1109/CDC.2003.1271706",

language = "English (US)",

isbn = "0780379241",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3597--3602",

booktitle = "Proceedings of the IEEE Conference on Decision and Control",

note = "42nd IEEE Conference on Decision and Control ; Conference date: 09-12-2003 Through 12-12-2003",

}

TY - GEN

T1 - Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations

AU - Wong, Hong

AU - Kapila, Vikram

PY - 2003

Y1 - 2003

N2 - This paper addresses a periodic trajectory tracking problem arising in spacecraft formation flying. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which learns a periodic, unknown model reference control. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a model reference control estimate are designed that facilitate the tracking of given periodic reference trajectories in the presence of unknown leader and follower spacecraft masses. Furthermore, using a discrete Lyapunov-type stability analysis, model reference control error is shown to converge to zero. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

AB - This paper addresses a periodic trajectory tracking problem arising in spacecraft formation flying. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which learns a periodic, unknown model reference control. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a model reference control estimate are designed that facilitate the tracking of given periodic reference trajectories in the presence of unknown leader and follower spacecraft masses. Furthermore, using a discrete Lyapunov-type stability analysis, model reference control error is shown to converge to zero. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

UR - http://www.scopus.com/inward/record.url?scp=1542289150&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1542289150&partnerID=8YFLogxK

U2 - 10.1109/CDC.2003.1271706

DO - 10.1109/CDC.2003.1271706

M3 - Conference contribution

AN - SCOPUS:1542289150

SN - 0780379241

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 3597

EP - 3602

BT - Proceedings of the IEEE Conference on Decision and Control

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 42nd IEEE Conference on Decision and Control

Y2 - 9 December 2003 through 12 December 2003

ER -

Adaptive Learning Control-Based Periodic Trajectory Tracking for Spacecraft Formations

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this