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Publishing Language: Chinese

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

Tongtong QIE1, Jianyong ZHENG1( ), Lei ZHANG2, Zhichu LEI2, Xutao HE2
Institute of Artificial Intelligence, Shanghai University, Shanghai 200444, China
State Grid Zhe-Jiang Zhou-Shan Electric Power Co., Ltd., Zhoushan 316000, China
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Abstract

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

anti-roll gyroscopedynamic modelingparameter optimizationgenetic algorithm
CLC number: U664.7 Document code: A

References

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Chinese Journal of Ship Research
Volume 20 Issue 3,
June 2025
Pages 223-231
DOI: 10.19693/j.issn.1673-3185.03682

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Cite this article:
QIE T, ZHENG J, ZHANG L, et al. Parameter optimization of ship anti-roll gyro control system based on genetic algorithm. Chinese Journal of Ship Research, 2025, 20(3): 223-231. https://doi.org/10.19693/j.issn.1673-3185.03682

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Received: 10 December 2023
Revised: 29 February 2024
Published: 17 April 2024
© 2025 Chinese Journal of Ship Research.