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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.
Details
; Lin, Jianlong 2 ; Peng Zhouhua 1 ; Wang, Yuanhui 3 ; Wang, Shasha 1
1 College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China; [email protected] (Y.T.); [email protected] (J.L.), Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships, Dalian 116026, China
2 College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China; [email protected] (Y.T.); [email protected] (J.L.)
3 College of Intelligent System Science and Engineering, Harbin Engineering University, Harbin 150001, China; [email protected]