Thrust distribution of ship power system based on improved marine predators algorithm

Zhen-yu Wang; Xi-huai Wang

doi:10.1117/12.3011672

7 December 2023 Thrust distribution of ship power system based on improved marine predators algorithm

Zhen-yu Wang, Xi-huai Wang

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294105 (2023) https://doi.org/10.1117/12.3011672
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In order to adapt to marine operations and improve the positioning accuracy of ships, this paper proposes an improved marine predator's algorithm for ship power system thrust distribution. An objective function for minimizing the power loss of the propulsion system is established. The function is constrained by the angle, magnitude and rate of change of the thrust direction. To solve the problem that the conventional Marine Predator's Algorithm (MPA) easily falls into local optimum, an adaptive t-distribution change operator is introduced to update the population to avoid falling into local optimum. The updated populations are grouped and learned according to the fitness to further improve the population quality and search accuracy. The traditional marine predator's algorithm is also compared with the improved simulation results, and it is concluded that the improved algorithm can deliver the commands of the power positioning system controller more accurately under the environmental disturbance and effectively reduce the power loss when the ship is sailing.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhen-yu Wang and Xi-huai Wang "Thrust distribution of ship power system based on improved marine predators algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294105 (7 December 2023); https://doi.org/10.1117/12.3011672

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