[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 im-proved 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 reduc-tion tests on a self-developed ship model prototype.The software system of intelligent airflow control techno-logy 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 tech-nology.[Results]The technology proposed in this study can effectively control the airflow to reach the op-timal 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 im-proves the automation and intelligence level of microbubble drag reduction technology while enhancing its ac-tual 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
Key words
microbubble drag reduction/improved ant colony optimization algorithm/intelligent control of airflow/self-propelled model test
维普
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