Chinese Journal of Ship Research, Volume. 20, Issue 3, 223(2025)

Parameter optimization of ship anti-roll gyro control system based on genetic algorithm

Tongtong QIE1, Jianyong ZHENG1, Lei ZHANG2, Zhichu LEI2, and Xutao HE2
Author Affiliations
  • 1Institute of Artificial Intelligence, Shanghai University, Shanghai 200444, China
  • 2State Grid Zhe-Jiang Zhou-Shan Electric Power Co., Ltd., Zhoushan 316000, China
  • show less

    Objective

    In order to improve the performance of the anti-roll gyro, a passive control parameter optimization method based on a genetic algorithm is proposed.

    Methods

    First, 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.

    Results

    The 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.

    Conclusion

    The results of this study can provide useful references for the design and optimization of onboard anti-roll gyro control systems.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Tongtong QIE, Jianyong ZHENG, Lei ZHANG, Zhichu LEI, Xutao HE. Parameter optimization of ship anti-roll gyro control system based on genetic algorithm[J]. Chinese Journal of Ship Research, 2025, 20(3): 223

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Dec. 10, 2023

    Accepted: --

    Published Online: Jul. 15, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03682

    Topics