@article{QIE2025, 
author = {Tongtong QIE and Jianyong ZHENG and Lei ZHANG and Zhichu LEI and Xutao HE},
title = {Parameter optimization of ship anti-roll gyro control system based on genetic algorithm},
year = {2025},
journal = {Chinese Journal of Ship Research},
volume = {20},
number = {3},
pages = {223-231},
keywords = {anti-roll gyroscope, dynamic modeling, parameter optimization, genetic algorithm},
url = {https://www.sciopen.com/article/10.19693/j.issn.1673-3185.03682},
doi = {10.19693/j.issn.1673-3185.03682},
abstract = {ObjectiveIn order to improve the performance of the anti-roll gyro, a passive control parameter optimization method based on a genetic algorithm is proposed. MethodsFirst, based on the ship seakeeping and gyro dynamics theories, the passive control system of the anti-roll gyro is precisely modeled, containing an electromagnetic torque model of the precession motor. Second, to address the balance between rocking reduction efficiency and system chatter, a parameter optimization method for the onboard anti-roll gyro control system based on a genetic algorithm is proposed. The performance of the system under the fourth level of typical sea conditions is then simulated and verified by Matlab/Simulink.ResultsThe simulation results show that the optimized system has superior performance, with a highest rocking reduction efficiency of 97.44% and no obvious chatter in the precession system.ConclusionThe results of this study can provide useful references for the design and optimization of onboard anti-roll gyro control systems.}
}