Adaptive learning control for spacecraft formation flying

Hong Wong; Haizhou Pan; Marcio S. De Queiroz; Vikram Kapila

Adaptive learning control for spacecraft formation flying

Hong Wong, Haizhou Pan, Marcio S. De Queiroz, Vikram Kapila

Mechanical and Aerospace Engineering

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

Abstract

This paper considers the problem of spacecraft formation flying in the presence of periodic disturbances. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which accounts for the periodic disturbances entering the system model. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a disturbance estimate rule are designed which facilitate the tracking of given reference trajectories in the presence of unknown spacecraft masses. 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
Pages	1089-1094
Number of pages	6
Volume	2
State	Published - 2001
Event	40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States Duration: Dec 4 2001 → Dec 7 2001

Other

Other	40th IEEE Conference on Decision and Control (CDC)
Country/Territory	United States
City	Orlando, FL
Period	12/4/01 → 12/7/01

ASJC Scopus subject areas

Chemical Health and Safety
Control and Systems Engineering
Safety, Risk, Reliability and Quality

Cite this

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title = "Adaptive learning control for spacecraft formation flying",

abstract = "This paper considers the problem of spacecraft formation flying in the presence of periodic disturbances. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which accounts for the periodic disturbances entering the system model. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a disturbance estimate rule are designed which facilitate the tracking of given reference trajectories in the presence of unknown spacecraft masses. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.",

author = "Hong Wong and Haizhou Pan and {De Queiroz}, {Marcio S.} and Vikram Kapila",

year = "2001",

language = "English (US)",

volume = "2",

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

note = "40th IEEE Conference on Decision and Control (CDC) ; Conference date: 04-12-2001 Through 07-12-2001",

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AU - Wong, Hong

AU - Pan, Haizhou

AU - De Queiroz, Marcio S.

AU - Kapila, Vikram

PY - 2001

Y1 - 2001

N2 - This paper considers the problem of spacecraft formation flying in the presence of periodic disturbances. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which accounts for the periodic disturbances entering the system model. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a disturbance estimate rule are designed which facilitate the tracking of given reference trajectories in the presence of unknown spacecraft masses. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

AB - This paper considers the problem of spacecraft formation flying in the presence of periodic disturbances. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which accounts for the periodic disturbances entering the system model. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a disturbance estimate rule are designed which facilitate the tracking of given reference trajectories in the presence of unknown spacecraft masses. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

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M3 - Conference contribution

AN - SCOPUS:0035712683

VL - 2

SP - 1089

EP - 1094

BT - Proceedings of the IEEE Conference on Decision and Control

T2 - 40th IEEE Conference on Decision and Control (CDC)

Y2 - 4 December 2001 through 7 December 2001

ER -

Adaptive learning control for spacecraft formation flying

Abstract

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ASJC Scopus subject areas

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