文献类型：期刊文献

中文题名：基于蝗虫优化算法的大型运输船舶自适应控制

英文题名：Adaptive control of large transport ship based on grasshopper optimization algorithm

作者：余荣臻[1];袁剑平[2];李俊益[3]

机构：[1]广东海洋大学电子与信息工程学院,广东湛江524088;[2]广东海洋大学海洋工程学院,广东湛江524088;[3]武汉第二船舶设计研究所,湖北武汉430205

年份：2023

卷号：18

期号：3

起止页码：66

中文期刊名：中国舰船研究

外文期刊名：Chinese Journal of Ship Research

收录：CSTPCD、、Scopus、CSCD_E2023_2024、北大核心、CSCD、北大核心2020

基金：国防科工局稳定支持课题(JCKYS2021SXJQR-02);广东省普通高校人工智能重点领域专项资金资助项目(2019KZDZX1024)。

语种：中文

中文关键词：大型运输船舶;蝗虫优化算法;滑模控制;线性二次型调节器;跟踪控制

外文关键词：large transport ship;grasshopper optimization algorithm(GOA);sliding mode control;linear quadratic regulator(LQR);tracking control

中文摘要：[目的]海上航行环境随机复杂多变,而智能自主航行是大型远洋运输船舶发展的重要趋势,为此,提出一种新的自适应控制方法。[方法]首先,基于蝗虫优化算法(GOA),将线性二次型调节器(LQR)控制方法与一阶动态积分滑模控制方法相融合;然后,结合实时监测波浪干扰力的非线性无源估计器,将船舶高、低频运动信号进行分离;最后,与LQR控制方法和一阶动态积分滑模控制方法进行仿真对比。[结果]结果显示,新的控制方法具有更好的瞬态和稳态跟踪性能,在不同的海况下能够克服随机波浪的影响,具有较强的鲁棒性。[结论]新的控制方法具有复杂环境下的自适应调节能力,且控制响应快、精度高、无效操舵少,能极大地提高大型运输船舶的航行效率、安全性和稳定性。

外文摘要：[Objectives]The maritime navigation environment is random,complex and changeable,and in-telligent autonomous navigation is an important trend in the development of large ocean-going transport ships,for which a new adaptive control method is proposed.[Methods]First,the linear quadratic regulator(LQR)control method is integrated with the first-order dynamic integral sliding mode control method based on the grasshopper optimization algorithm(GOA).A nonlinear passive estimator with real-time monitoring of wave disturbance forces is then combined to separate the high and low-frequency motion signals of the ship.Finally,the simulation results of the proposed method are compared with those of the LQR control method and first-order dynamic integral sliding mode control method.[Results]The results show that the new control method has better transient and steady-state tracking performance,and is able to overcome the effects of random waves un-der different sea conditions with strong robustness.[Conclusions]The new control method has such abilit-ies as self-adjustment in complex environments,fast control response,high precision and less redundant steer-ing,enabling it to greatly improve the navigation efficiency,safety and stability of large transport ships.