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

Objectives 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.

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