Optimal Thrust Allocation Strategy of Electric Propulsion Ship Based on Improved Non-Dominated Sorting Genetic Algorithm II

IEEE Access

Xuyang Wang¹  Diju Gao¹  Tianzhen Wang¹  Yide Wang¹  Xiaobin Xu² 

[1] Key Laboratory of Marine Technology and Control Engineering, Ministry of Transport, Shanghai Maritime University, Shanghai, China;School of Automation, Hangzhou Dianzi University, Hangzhou, China;

关键词: Electric propulsion;    multi-azimuth thruster;    thrust allocation;    optimization;    NSGA-II;   

DOI  :  10.1109/ACCESS.2019.2942170

来源: DOAJ

【 摘 要 】

The azimuth thruster is widely used in electric propulsion ships due to its excellent performance. The thrust allocation (TA) method of multi-azimuth thruster is the key technology in ship motion control. The purpose of TA is to accurately distribute the thrust and angle of each thruster to provide the vessel the required force and moment. A TA strategy based on the improved non-dominated sorting genetic algorithm II (INSGA-II) is developed in this study. The algorithm introduces the differential mutation operator in the differential evolution (DE) to replace the polynomial variation in NSGA-II, which improves the local optimization ability of the algorithm. The effectiveness of the TA strategy based on INSGA-II algorithm is illustrated by simulations.

【 授权许可】

Unknown