基于机器学习的风暴中船体减摇自动化控制方法研究

Research on automatic control method of ship rolling reduction in storm based on machine learning

针对传统模糊控制方法修正误差大、航行过程中出现风暴现象船舶的晃动程度较高的现象,提出并设计了一种基于机器学习的船体减摇自动化控制方法。结合数学模型对船舶减摇过程中所受的偏移力矩进行分析后,确定船体姿态参量的自整定性处理系数,采用机器学习方法对自动化控制算法进行优化,实现船体姿态参量的误差补偿,完成对风暴环境中船舶的自动化减摇控制。仿真实验结果表明,采用基于机器学习的自动化控制方法能够有效增强船体减摇过程中的误差修正能力,鲁棒性极强。

Aiming at the phenomena of large error correction and high degree of ship sloshing caused by storm in the course of navigation by traditional fuzzy control method,an automatic control method for ship hull roll reduction based on machine learning is proposed and designed.After analyzing the offset moment in ship roll reduction process with mathematical model,the self-tuning processing coefficients of ship attitude parameters are determined,and the automatic control algorithm is optimized by machine learning method.The error compensation of ship attitude parameters is realized,and the automatic roll reduction control of ship in storm environment is completed.The simulation results show that the automatic control method based on machine learning can effectively enhance the error correction ability of hull roll reduction process,and has strong robustness.