Adaptive Observer for Nonlinearly Parameterized Hammerstein System With Sensor Delay--Applied to Ship Emissions Reduction
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. This brief 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.
Kr\aen Nielsen, Mogens Blanke and Lars Eriksson
IEEE Transactions on Control Systems Technology,
2018
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