Adaptive Observer for Nonlinearly Parameterised Hammerstein System with Sensor Delay – Applied to Ship Emissions Reduction

Kræn V. Nielsen*, Mogens Blanke, Lars Eriksson

*Corresponding author for this work

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Abstract

Taking offspring in a problem of ship emission reduction by exhaust gas recirculation control for large diesel engines, an underlying generic estimation challenge is formulated as a problem of joint state and parameter estimation for a class of multiple-input single-output Hammerstein systems with first order dynamics, sensor delay and a bounded time-varying parameter in the nonlinear part. The paper suggests a novel scheme for this estimation problem that guarantees exponential convergence to an interval that depends on the sensitivity of the system. The system is allowed to be nonlinear parameterized and time dependent, which are characteristics of the industrial problem we study. The approach requires the input nonlinearity to be a sector nonlinearity in the time-varying parameter. Salient features of the approach include simplicity of design and implementation. The efficacy of the adaptive observer is shown on simulated cases, on tests with a large diesel engine on test bed and on tests with a container vessel.
Original languageEnglish
JournalIEEE Transactions on Control Systems Technology
Volume26
Issue number4
Pages (from-to)1508-1515
Number of pages8
ISSN1063-6536
DOIs
Publication statusPublished - 2018

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Keywords

  • Nonlinear control systems
  • Joint state and parameter observer
  • Sensor delay

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