Ship motion model parameter identification method, program, equipment and storage medium

Abstract

The invention discloses a ship motion model parameter identification method, a program, equipment and a storage medium, and belongs to the field of model parameter identification. According to the method, an AC-PSA algorithm is adopted, multiple groups of populations are initialized, the position of a single individual in each group of populations represents a to-be-identified ship motion model parameter, and the overall position vector of the population represents a vector composed of a group of to-be-identified parameters; calculating fitness values of various populations, and selecting the population with the maximum corresponding fitness value as the optimal population; for each population, calculating a position vector deviation between the population and the optimal population in the current number of iterations; in order to accelerate algorithm convergence and improve generalization performance, an automatic parameter construction part is added on the basis of a PSA algorithm, and the structure and parameters of a ship control motion regression model can be synchronously estimated. According to the method, the parallel optimization advantage of the meta-heuristic algorithm and a self-organizing mechanism are utilized, so that rapid convergence of the algorithm can be promoted, and the calculation amount is reduced.

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