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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 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 languageEnglish
Title of host publicationProceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008
EditorsDidier Keymeulen, Tughrul Arslan, Martin Suess, Adrian Stoica, Ahmet T. Erdogan, David Merodio
Place of PublicationLos Alamitos, CA.
Pages432-439
Number of pages8
DOIs
Publication statusPublished - 8 Nov 2008
Event2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008 - Noordwijk, Netherlands
Duration: 22 Jun 200825 Jun 2008

Conference

Conference2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008
CountryNetherlands
CityNoordwijk
Period22/06/0825/06/08

Fingerprint

Wireless sensor networks
Satellites
Controllers
Feedback linearization
Power transmission
Linear systems
Nonlinear systems
Dynamic models
Quality of service
Energy utilization
Feedback
Communication

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

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). [4584304] Los Alamitos, CA.. https://doi.org/10.1109/AHS.2008.60
Yang, Erfu ; Erdogan, Ahmet T. ; Arslan, Tughrul ; Barton, Nick H. / 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
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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.",
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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; Barton, Nick H.

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 proceedingConference contribution book

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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.

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KW - particle swarm optimisation

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A2 - Keymeulen, Didier

A2 - Arslan, Tughrul

A2 - Suess, Martin

A2 - Stoica, Adrian

A2 - Erdogan, Ahmet T.

A2 - Merodio, David

CY - Los Alamitos, CA.

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 https://doi.org/10.1109/AHS.2008.60