  In this paper, a fine-tuning method of the parameters in the MMG model for
the real-scale ship is proposed. In the proposed method, all of the arbitrarily
indicated target parameters of the MMG model are tuned simultaneously in the
framework of SI using time series data of real-sale ship maneuvering motion
data to steadily improve the accuracy of the MMG model. Parameter tuning is
formulated as a minimization problem of the deviation of the maneuvering motion
simulated with given parameters and the real-scale ship trials, and the global
solution is explored using CMA-ES. By constraining the exploration ranges to
the neighborhood of the previously determined parameter values, the proposed
method limits the output in a realistic range. The proposed method is applied
to the tuning of 12 parameters for a container ship with five different widths
of the exploration range. The results show that, in all cases, the accuracy of
the maneuvering simulation is improved by applying the tuned parameters to the
MMG model, and the validity of the proposed parameter fine-tuning method is
confirmed.
