Sensor Fault Masking of a Ship Propulsion System

N. Eva Wu, Shuda Thavamani, Youmin Zhang, Mogens Blanke

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

This paper presents the results of a study on fault-tolerant control of a ship propulsion benchmark (Izadi-Zamanabadi and Blanke, 999), which uses estimated or virtual measurements as feedback variables. The estimator operates on a self-adjustable design model so that its outputs can be made immune to the e®ects of a peci¯c set of component and sensor faults. The adequacy of sensor redundancy is measured using the control recon¯gurability (Wu, Zhou, and Salomon, 2000), and the number of sensor based measurements are increased when this level is found inadequate. As a result, sensor faults that are captured in the estimator's design model can be tolerated without the need for any recon¯guration actions. Simulations for the ship propulsion benchmark show that, with additional sensors added as described, satisfactory fault-tolerance is achieved under two additive sensor faults, an incipient fault, and a parametric fault, without having to alter the original controller in the benchmark.
Original languageEnglish
JournalControl Engineering Practice
Volume14
Issue number11
Pages (from-to)1337-1345
ISSN0967-0661
DOIs
Publication statusPublished - 2005

Keywords

  • Fault tolerant control
  • Sensor redundancys
  • Ship propulsion benchmark
  • Adaptive estimation
  • Reconfigurability

Cite this

Wu, N. Eva ; Thavamani, Shuda ; Zhang, Youmin ; Blanke, Mogens. / Sensor Fault Masking of a Ship Propulsion System. In: Control Engineering Practice. 2005 ; Vol. 14, No. 11. pp. 1337-1345.
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Sensor Fault Masking of a Ship Propulsion System. / Wu, N. Eva; Thavamani, Shuda; Zhang, Youmin; Blanke, Mogens.

In: Control Engineering Practice, Vol. 14, No. 11, 2005, p. 1337-1345.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Wu, N. Eva

AU - Thavamani, Shuda

AU - Zhang, Youmin

AU - Blanke, Mogens

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N2 - This paper presents the results of a study on fault-tolerant control of a ship propulsion benchmark (Izadi-Zamanabadi and Blanke, 999), which uses estimated or virtual measurements as feedback variables. The estimator operates on a self-adjustable design model so that its outputs can be made immune to the e®ects of a peci¯c set of component and sensor faults. The adequacy of sensor redundancy is measured using the control recon¯gurability (Wu, Zhou, and Salomon, 2000), and the number of sensor based measurements are increased when this level is found inadequate. As a result, sensor faults that are captured in the estimator's design model can be tolerated without the need for any recon¯guration actions. Simulations for the ship propulsion benchmark show that, with additional sensors added as described, satisfactory fault-tolerance is achieved under two additive sensor faults, an incipient fault, and a parametric fault, without having to alter the original controller in the benchmark.

AB - This paper presents the results of a study on fault-tolerant control of a ship propulsion benchmark (Izadi-Zamanabadi and Blanke, 999), which uses estimated or virtual measurements as feedback variables. The estimator operates on a self-adjustable design model so that its outputs can be made immune to the e®ects of a peci¯c set of component and sensor faults. The adequacy of sensor redundancy is measured using the control recon¯gurability (Wu, Zhou, and Salomon, 2000), and the number of sensor based measurements are increased when this level is found inadequate. As a result, sensor faults that are captured in the estimator's design model can be tolerated without the need for any recon¯guration actions. Simulations for the ship propulsion benchmark show that, with additional sensors added as described, satisfactory fault-tolerance is achieved under two additive sensor faults, an incipient fault, and a parametric fault, without having to alter the original controller in the benchmark.

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