Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network

Erfu Yang; Ahmet T. Erdogan; Tughrul Arslan; Nick H. Barton

doi:10.1109/AHS.2008.60

Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network

Erfu Yang^*, Ahmet T. Erdogan, Tughrul Arslan, Nick H. Barton

^*Corresponding author for this work

Design, Manufacturing And Engineering Management

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

4 Citations (Scopus)

Abstract

In this paper, adaptive formation control and bio-inspired optimization are jointly addressed for a cluster-based satellite wireless sensor network in which there are multiple satellites flying in formation (MSFF) in the presence of unknown disturbances. The full nonlinear dynamics model describing the relative positioning of the MSFF system is used to develop an adaptive formation controller. First, the original nonlinear system is transformed into a linear controllable system with a perturbation term by invoking the input-output feedback linearization technique. Second, by using the integral feedback design scheme, the adaptive formation controller is presented for improving the steady-state performance of the MSFF system in the presence of unknown disturbances. Third, as a currently popular bio-inspired algorithm, PSO (particle swarm optimizer) is employed to minimize the total energy consumption under the required quality of service by jointly optimizing the transmission power and rate for each satellite. Simulation results are provided to demonstrate the effectiveness of the adaptive formation controller and the PSO-based optimization for saving the total communication energy.

Original language	English
Title of host publication	Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008
Editors	Didier Keymeulen, Tughrul Arslan, Martin Suess, Adrian Stoica, Ahmet T. Erdogan, David Merodio
Place of Publication	Los Alamitos, CA.
Pages	432-439
Number of pages	8
DOIs	https://doi.org/10.1109/AHS.2008.60
Publication status	Published - 8 Nov 2008
Event	2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008 - Noordwijk, Netherlands Duration: 22 Jun 2008 → 25 Jun 2008

Conference

Conference	2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008
Country/Territory	Netherlands
City	Noordwijk
Period	22/06/08 → 25/06/08

Keywords

adaptive control
linearisation techniques
particle swarm optimisation
quality of service
satellite communication
telecommunication control
wireless sensor networks
control systems
linear feedback control systems
nonlinear control systems

Access to Document

10.1109/AHS.2008.60

Cite this

Yang, E., Erdogan, A. T., Arslan, T., & Barton, N. H. (2008). Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network. In D. Keymeulen, T. Arslan, M. Suess, A. Stoica, A. T. Erdogan, & D. Merodio (Eds.), Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008 (pp. 432-439). Article 4584304. https://doi.org/10.1109/AHS.2008.60

Yang, Erfu ; Erdogan, Ahmet T. ; Arslan, Tughrul et al. / Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network. Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008. editor / Didier Keymeulen ; Tughrul Arslan ; Martin Suess ; Adrian Stoica ; Ahmet T. Erdogan ; David Merodio. Los Alamitos, CA., 2008. pp. 432-439

@inproceedings{1077c77840a24bc8871649e0ce8a74aa,

title = "Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network",

abstract = "In this paper, adaptive formation control and bio-inspired optimization are jointly addressed for a cluster-based satellite wireless sensor network in which there are multiple satellites flying in formation (MSFF) in the presence of unknown disturbances. The full nonlinear dynamics model describing the relative positioning of the MSFF system is used to develop an adaptive formation controller. First, the original nonlinear system is transformed into a linear controllable system with a perturbation term by invoking the input-output feedback linearization technique. Second, by using the integral feedback design scheme, the adaptive formation controller is presented for improving the steady-state performance of the MSFF system in the presence of unknown disturbances. Third, as a currently popular bio-inspired algorithm, PSO (particle swarm optimizer) is employed to minimize the total energy consumption under the required quality of service by jointly optimizing the transmission power and rate for each satellite. Simulation results are provided to demonstrate the effectiveness of the adaptive formation controller and the PSO-based optimization for saving the total communication energy.",

keywords = "adaptive control, linearisation techniques, particle swarm optimisation, quality of service, satellite communication, telecommunication control, wireless sensor networks, control systems, linear feedback control systems, nonlinear control systems",

author = "Erfu Yang and Erdogan, {Ahmet T.} and Tughrul Arslan and Barton, {Nick H.}",

year = "2008",

month = nov,

day = "8",

doi = "10.1109/AHS.2008.60",

language = "English",

isbn = "9780769531663",

pages = "432--439",

editor = "Didier Keymeulen and Tughrul Arslan and Martin Suess and Adrian Stoica and Erdogan, {Ahmet T.} and David Merodio",

booktitle = "Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008",

note = "2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008 ; Conference date: 22-06-2008 Through 25-06-2008",

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Yang, E, Erdogan, AT, Arslan, T & Barton, NH 2008, Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network. in D Keymeulen, T Arslan, M Suess, A Stoica, AT Erdogan & D Merodio (eds), Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008., 4584304, Los Alamitos, CA., pp. 432-439, 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008, Noordwijk, Netherlands, 22/06/08. https://doi.org/10.1109/AHS.2008.60

Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network. / Yang, Erfu; Erdogan, Ahmet T.; Arslan, Tughrul et al.
Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008. ed. / Didier Keymeulen; Tughrul Arslan; Martin Suess; Adrian Stoica; Ahmet T. Erdogan; David Merodio. Los Alamitos, CA., 2008. p. 432-439 4584304.

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

TY - GEN

T1 - Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network

AU - Yang, Erfu

AU - Erdogan, Ahmet T.

AU - Arslan, Tughrul

AU - Barton, Nick H.

PY - 2008/11/8

Y1 - 2008/11/8

N2 - In this paper, adaptive formation control and bio-inspired optimization are jointly addressed for a cluster-based satellite wireless sensor network in which there are multiple satellites flying in formation (MSFF) in the presence of unknown disturbances. The full nonlinear dynamics model describing the relative positioning of the MSFF system is used to develop an adaptive formation controller. First, the original nonlinear system is transformed into a linear controllable system with a perturbation term by invoking the input-output feedback linearization technique. Second, by using the integral feedback design scheme, the adaptive formation controller is presented for improving the steady-state performance of the MSFF system in the presence of unknown disturbances. Third, as a currently popular bio-inspired algorithm, PSO (particle swarm optimizer) is employed to minimize the total energy consumption under the required quality of service by jointly optimizing the transmission power and rate for each satellite. Simulation results are provided to demonstrate the effectiveness of the adaptive formation controller and the PSO-based optimization for saving the total communication energy.

AB - In this paper, adaptive formation control and bio-inspired optimization are jointly addressed for a cluster-based satellite wireless sensor network in which there are multiple satellites flying in formation (MSFF) in the presence of unknown disturbances. The full nonlinear dynamics model describing the relative positioning of the MSFF system is used to develop an adaptive formation controller. First, the original nonlinear system is transformed into a linear controllable system with a perturbation term by invoking the input-output feedback linearization technique. Second, by using the integral feedback design scheme, the adaptive formation controller is presented for improving the steady-state performance of the MSFF system in the presence of unknown disturbances. Third, as a currently popular bio-inspired algorithm, PSO (particle swarm optimizer) is employed to minimize the total energy consumption under the required quality of service by jointly optimizing the transmission power and rate for each satellite. Simulation results are provided to demonstrate the effectiveness of the adaptive formation controller and the PSO-based optimization for saving the total communication energy.

KW - adaptive control

KW - linearisation techniques

KW - particle swarm optimisation

KW - quality of service

KW - satellite communication

KW - telecommunication control

KW - wireless sensor networks

KW - control systems

KW - linear feedback control systems

KW - nonlinear control systems

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UR - http://www.see.ed.ac.uk/ahs2008/

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4584238

U2 - 10.1109/AHS.2008.60

DO - 10.1109/AHS.2008.60

M3 - Conference contribution book

AN - SCOPUS:51949112360

SN - 9780769531663

SP - 432

EP - 439

BT - Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008

A2 - Keymeulen, Didier

A2 - Arslan, Tughrul

A2 - Suess, Martin

A2 - Stoica, Adrian

A2 - Erdogan, Ahmet T.

A2 - Merodio, David

CY - Los Alamitos, CA.

T2 - 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008

Y2 - 22 June 2008 through 25 June 2008

ER -

Yang E, Erdogan AT, Arslan T, Barton NH. Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network. In Keymeulen D, Arslan T, Suess M, Stoica A, Erdogan AT, Merodio D, editors, Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008. Los Alamitos, CA. 2008. p. 432-439. 4584304 doi: 10.1109/AHS.2008.60

Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network

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