Genetic algorithms-based method for disturbance attenuation in flight control systems

X. H. LIAO; Zhao SUN; B. LI; Y. D. SONG

doi:10.1109/SSST.2006.1619089

Genetic algorithms-based method for disturbance attenuation in flight control systems

X. H. LIAO^*
, Zhao SUN
, B. LI
, Y. D. SONG

^*Corresponding author for this work

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

Abstract

Due to fast varying flight conditions, the dynamics of space vehicle such as RLV (Reusable Launch Vehicle) are usually coupled with unpredictable disturbances, which, if not properly attenuated, could significantly deteriorate the vehicle flight performance. This paper explores a new approach to reducing the affect of external disturbances on RLV by using Genetic Algorithms (GA). By carefully selecting a fitness function related to Euler angles tracking errors, we use GA to search for an "optimal" compensating unit to "fight" against the external disturbances for better tracking performance. Unlike most existing robust control schemes, the proposed method does not involve analytically estimating the bounds of the nonlinearities and disturbances, making it more feasible for design and implementation. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings of the 38th Southeastern Symposium on System Theory
Publisher	IEEE
Pages	519-523
Number of pages	5
ISBN (Print)	0780394577
DOIs	https://doi.org/10.1109/SSST.2006.1619089
Publication status	Published - 17 Oct 2006
Externally published	Yes

Keywords

Attenuation
External disturbance
Fitness Function
Genetic Algorithms
Lyapunov-based Control

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10.1109/SSST.2006.1619089

Cite this

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title = "Genetic algorithms-based method for disturbance attenuation in flight control systems",

abstract = "Due to fast varying flight conditions, the dynamics of space vehicle such as RLV (Reusable Launch Vehicle) are usually coupled with unpredictable disturbances, which, if not properly attenuated, could significantly deteriorate the vehicle flight performance. This paper explores a new approach to reducing the affect of external disturbances on RLV by using Genetic Algorithms (GA). By carefully selecting a fitness function related to Euler angles tracking errors, we use GA to search for an {"}optimal{"} compensating unit to {"}fight{"} against the external disturbances for better tracking performance. Unlike most existing robust control schemes, the proposed method does not involve analytically estimating the bounds of the nonlinearities and disturbances, making it more feasible for design and implementation. {\textcopyright} 2006 IEEE.",

keywords = "Attenuation, External disturbance, Fitness Function, Genetic Algorithms, Lyapunov-based Control",

author = "LIAO, \{X. H.\} and Zhao SUN and B. LI and SONG, \{Y. D.\}",

year = "2006",

month = oct,

day = "17",

doi = "10.1109/SSST.2006.1619089",

language = "English",

isbn = "0780394577",

pages = "519--523",

booktitle = "Proceedings of the 38th Southeastern Symposium on System Theory",

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TY - GEN

T1 - Genetic algorithms-based method for disturbance attenuation in flight control systems

AU - LIAO, X. H.

AU - SUN, Zhao

AU - LI, B.

AU - SONG, Y. D.

PY - 2006/10/17

Y1 - 2006/10/17

N2 - Due to fast varying flight conditions, the dynamics of space vehicle such as RLV (Reusable Launch Vehicle) are usually coupled with unpredictable disturbances, which, if not properly attenuated, could significantly deteriorate the vehicle flight performance. This paper explores a new approach to reducing the affect of external disturbances on RLV by using Genetic Algorithms (GA). By carefully selecting a fitness function related to Euler angles tracking errors, we use GA to search for an "optimal" compensating unit to "fight" against the external disturbances for better tracking performance. Unlike most existing robust control schemes, the proposed method does not involve analytically estimating the bounds of the nonlinearities and disturbances, making it more feasible for design and implementation. © 2006 IEEE.

AB - Due to fast varying flight conditions, the dynamics of space vehicle such as RLV (Reusable Launch Vehicle) are usually coupled with unpredictable disturbances, which, if not properly attenuated, could significantly deteriorate the vehicle flight performance. This paper explores a new approach to reducing the affect of external disturbances on RLV by using Genetic Algorithms (GA). By carefully selecting a fitness function related to Euler angles tracking errors, we use GA to search for an "optimal" compensating unit to "fight" against the external disturbances for better tracking performance. Unlike most existing robust control schemes, the proposed method does not involve analytically estimating the bounds of the nonlinearities and disturbances, making it more feasible for design and implementation. © 2006 IEEE.

KW - Attenuation

KW - External disturbance

KW - Fitness Function

KW - Genetic Algorithms

KW - Lyapunov-based Control

UR - https://www.scopus.com/pages/publications/33749637516

U2 - 10.1109/SSST.2006.1619089

DO - 10.1109/SSST.2006.1619089

M3 - Conference paper (refereed)

AN - SCOPUS:33749637516

SN - 0780394577

SP - 519

EP - 523

BT - Proceedings of the 38th Southeastern Symposium on System Theory

PB - IEEE

ER -

Genetic algorithms-based method for disturbance attenuation in flight control systems

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Keywords

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