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An Energy-Efficient Thrust Allocation Based on the Improved Dung Beetle Optimizer for the Dynamic Positioning System of Vessels

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Publicado en:Journal of Marine Science and Engineering vol. 13, no. 6 (2025), p. 1041-1060
Autor principal: Tuo Yulong
Otros Autores: Lin, Jianlong, Peng Zhouhua, Wang, Yuanhui, Wang, Shasha
Publicado:
MDPI AG
Materias:
Accuracy
Mathematical analysis
Algorithms
Beetles
Energy efficiency
Thrusters
Dung
Vessels
Foraging behavior
Energy consumption
Optimization models
Machine learning
Positioning systems
Dynamic positioning
Energy
Local optimization
Constraints
Optimization algorithms
Probability distribution
Economic
Acceso en línea:Citation/Abstract
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Resumen:This paper investigates the constrained nonlinear thrust allocation problem for the dynamic positioning system of vessels. Considering the wear, energy consumption, and allocation error of thrusters, a constrained nonlinear mathematical optimization model of thrust allocation is established based on the “Hai Yang Shi You 201”. Based on the dung beetle optimizer (DBO) algorithm, a hybrid Osprey adaptive t-distribution DBO (HOATDBO) algorithm is presented to achieve the thrust allocation. The HOATDBO algorithm introduces the global exploration strategy of the Osprey algorithm, with the addition of the initialization of the good point set and adaptive t-distribution perturbations. The proposed HOATDBO algorithm has perfect global and local optimization capabilities, which can quickly and reliably obtain the optimal thrust solution, improve the thrust allocation accuracy of vessels, and reduce energy consumption. Finally, the simulation and comparison results are presented to verify the superiority of the proposed HOATDBO algorithm.
ISSN:2077-1312
DOI:10.3390/jmse13061041
Fuente:Engineering Database