Spacecraft spin axis attitude determination via genetic algorithm

D.K. BOWE; A. HOMAIFAR; Y.D. SONG

doi:10.1109/ACC.1994.735094

Spacecraft spin axis attitude determination via genetic algorithm

D.K. BOWE
, A. HOMAIFAR
, Y.D. SONG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

This paper investigates the problem of spacecraft spin axis attitude determination from a set of noisy measurements. A genetic algorithm (GA) approach is used in this work. The motivation behind employing the GA stems from the fact that under measurement noise, many of the existing methods may not be applicable. It is shown that the GA is effective for this type of nonlinear constrained optimization problem because of its generality and robust nature. A simulation example is presented to verify the effectiveness of this method.

Original language	English
Title of host publication	Proceedings of 1994 American Control Conference
Publisher	IEEE
Pages	2877-2881
Number of pages	5
Volume	3
ISBN (Print)	0780317831
DOIs	https://doi.org/10.1109/ACC.1994.735094
Publication status	Published - 1994
Externally published	Yes
Event	1994 American Control Conference - Baltimore, United States Duration: 29 Jun 1994 → 1 Jul 1994

Conference

Conference	1994 American Control Conference
Country/Territory	United States
City	Baltimore
Period	29/06/94 → 1/07/94

Funding

This work is partially supported by NASA under grant NAGW-2924.

Access to Document

10.1109/ACC.1994.735094

http://ieeexplore.ieee.org/document/735094/

Cite this

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title = "Spacecraft spin axis attitude determination via genetic algorithm",

abstract = "This paper investigates the problem of spacecraft spin axis attitude determination from a set of noisy measurements. A genetic algorithm (GA) approach is used in this work. The motivation behind employing the GA stems from the fact that under measurement noise, many of the existing methods may not be applicable. It is shown that the GA is effective for this type of nonlinear constrained optimization problem because of its generality and robust nature. A simulation example is presented to verify the effectiveness of this method.",

author = "D.K. BOWE and A. HOMAIFAR and Y.D. SONG",

year = "1994",

doi = "10.1109/ACC.1994.735094",

language = "English",

isbn = "0780317831",

volume = "3",

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booktitle = "Proceedings of 1994 American Control Conference",

publisher = "IEEE",

note = "1994 American Control Conference ; Conference date: 29-06-1994 Through 01-07-1994",

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AU - BOWE, D.K.

AU - HOMAIFAR, A.

AU - SONG, Y.D.

PY - 1994

Y1 - 1994

N2 - This paper investigates the problem of spacecraft spin axis attitude determination from a set of noisy measurements. A genetic algorithm (GA) approach is used in this work. The motivation behind employing the GA stems from the fact that under measurement noise, many of the existing methods may not be applicable. It is shown that the GA is effective for this type of nonlinear constrained optimization problem because of its generality and robust nature. A simulation example is presented to verify the effectiveness of this method.

AB - This paper investigates the problem of spacecraft spin axis attitude determination from a set of noisy measurements. A genetic algorithm (GA) approach is used in this work. The motivation behind employing the GA stems from the fact that under measurement noise, many of the existing methods may not be applicable. It is shown that the GA is effective for this type of nonlinear constrained optimization problem because of its generality and robust nature. A simulation example is presented to verify the effectiveness of this method.

U2 - 10.1109/ACC.1994.735094

DO - 10.1109/ACC.1994.735094

M3 - Conference paper (refereed)

SN - 0780317831

VL - 3

SP - 2877

EP - 2881

BT - Proceedings of 1994 American Control Conference

PB - IEEE

T2 - 1994 American Control Conference

Y2 - 29 June 1994 through 1 July 1994

ER -

Spacecraft spin axis attitude determination via genetic algorithm

Abstract

Conference

Funding

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