穿浪双体船纵向减摇策略麻雀搜索优化
Sparrow search optimization of longitudinal stabilization strategy for wave piercing catamarans
梁利华 1蔡鹏飞 1程权成1
作者信息
- 1. 哈尔滨工程大学 智能科学与工程学院,黑龙江 哈尔滨 150001
- 折叠
摘要
为了改善穿浪双体船恶劣工况下的纵向稳定性,本文基于T型水翼及尾板设计了综合姿态控制系统.同时,对该系统相关控制参数的优化策略进行研究,以更好地实现减摇目标.采用了线性二次调节器和混合麻雀算法相结合的策略来设计控制器,将一种新型群智能算法(麻雀算法)及其改进算法应用于线性二次调节控制器权重矩阵寻优.通过两者对比,不仅验证了所设计姿态控制系统的有效性,也验证了该智能算法改进策略的高效性.结果表明:基于混合麻雀算法的控制器具有很好的自适应能力,且寻优过程收敛速度快,精度高,对工程实践具有一定的参考价值.
Abstract
This work presents a ride control system utilizing T-foil and stern flaps to improve the longitudinal stabili-ty of wave piercing catamarans(WPCs)under severe conditions.Additionally,it delves into optimizing the rele-vant control parameters of the system to achieve better stabilization.This paper adopts a control strategy combining linear quadratic regulator(LQR)and hybrid sparrow search algorithm(HSSA)to design the controller.Then,a new swarm intelligence algorithm,the sparrow search algorithm(SSA),along with its improved variant,is applied to optimize the weight matrix of the LQR controller.By comparing these methods,the study verifies the effective-ness of the designed attitude control system and the efficiency of the improved intelligent algorithm strategy.The re-sults show that the controller based on hybrid SSA exhibits good adaptability,fast convergence speed,and high pre-cision in the optimization process,providing valuable insights for engineering practice.
关键词
穿浪双体船/纵向运动/线性二次调节/智能算法/T型水翼/尾板/混合麻雀搜索算法/减摇Key words
wave piercing catamaran/longitudinal motion/linear quadratic regulator/swarm intelligence algorithm/T-foil/stern flaps/hybrid sparrow search algorithm/stabilization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据