基于改进蚁群算法的微气泡减阻气流量智能调控技术研究  

Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm

作　　者：李天臣 周彦安 裴志勇[2,3] 吴卫国 LI Tianchen;ZHOU Yan'an;PEI Zhiyong;WU Weiguo(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 4300636,China;Green&Smart River-Sea-Going Ship,Cruise and Yacht Research Center,Wuhan University of Technology,Wuhan 430063,China;Hubei Province Engineering Research Center on Green&Smart River-Sea-Going Ship,Wuhan 430063,China)

机构地区：[1]武汉理工大学船海与能源动力工程学院,湖北武汉430063 [2]武汉理工大学绿色智能江海直达船舶与邮轮游艇研究中心,湖北武汉430063 [3]绿色智能江海直达船舶湖北省工程研究中心,湖北武汉430063

出　　处：《中国舰船研究》2024年第5期35-42,共8页Chinese Journal of Ship Research

基　　金：湖北省重点研发计划资助项目(20211G0104)。

摘　　要：[目的]为了提高微气泡减阻技术的实际效能,基于改进蚁群算法开展微气泡减阻气流量智能调控技术研究。[方法]首先,基于微气泡减阻机理,利用自主研发船模样机开展微气泡减阻试验,获得不同航速下的理想最佳气流量;随后,采用改进蚁群算法,开发气流量智能调控技术的软件系统;最后,将智能调控硬件系统应用于船模样机,开展自航模试验以验证该技术的有效性。[结果]所研技术不仅可以有效地调控气流量达到最佳微气泡减阻效果,还可以监控航速变化对气流量进行自适应调控,使船舶在各种航速下均能保持最大减阻。[结论]该技术可以提高微气泡减阻技术的自动化与智能程度,增强微气泡减阻技术的实际效能。[Objective]In order to improve the actual efficiency of microbubble drag reduction technology,this study develops intelligent airflow control technology for microbubble drag reduction based on an improved ant colony optimization(ACO)algorithm.[Methods]Based on the mechanism of microbubble drag reduction,the ideal optimal airflow rate at different speeds is obtained by carrying out microbubble drag reduction tests on a self-developed ship model prototype.The software system of intelligent airflow control technology is developed by employing the improved ACO algorithm.A self-propelled test on a ship model installed with an intelligent control hardware system is carried out to verify the actual drag reduction effect of this technology.[Results]The technology proposed in this study can effectively control the airflow to reach the optimal microbubble drag reduction condition,and can also monitor the speed change and adaptively control the airflow to achieve the best drag reduction conditions at various speeds.[Conclusion]This technique improves the automation and intelligence level of microbubble drag reduction technology while enhancing its actual efficacy.

关 键 词：微气泡减阻 改进蚁群算法 气流量智能调控 自航模试验 

分 类 号：U661.311[交通运输工程—船舶及航道工程] U676.3[交通运输工程—船舶与海洋工程]