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作 者:韩天峰 侯小柱 王娜 高海涛 HAN Tianfeng;HOU Xiaozhu;WANG Na;GAO Haitao(College of Information and Network Engineering,Anhui Science and Technology University,Bengbu 233000,China;School of Electrical and Electronic Engineering,Anhui Science and Technology University,Bengbu 233000,China)
机构地区:[1]安徽科技学院信息与网络工程学院,安徽蚌埠233000 [2]安徽科技学院电气与电子工程学院,安徽蚌埠233000
出 处:《安徽科技学院学报》2024年第6期47-53,共7页Journal of Anhui Science and Technology University
基 金:安徽省高校自然科学研究项目(2023AH040275,2023AH051866);安徽省质量工程项目(2021jyxm0329)。
摘 要:目的:为改善淡水鲤鱼养殖池中溶解氧含量带来的养殖风险,解决常规PID算法在溶解氧含量控制中存在的不足。方法:以鲤鱼养殖曝气增氧系统为研究对象,搭建Simulink曝气增氧控制系统模型,设计一种自适应模糊PID控制策略,对养殖池的溶解氧含量进行控制,并对其有效性进行仿真验证。结果:与常规PID算法相比,该控制策略超调量更低,进入稳定状态的时间更短,对扰动量抑制性更好。结论:自适应模糊PID控制方法在对淡水养殖曝气增氧机的控制过程中,具有较好的稳定性和动态控制性能,控制效果好,为淡水溶解氧含量的精确控制提供新思路。Objective:To improve the aquaculture risks associated with dissolved oxygen content in freshwater carp ponds and solve the shortcomings of conventional PID algorithms in controlling dissolved oxygen content.Methods:Taking the aeration and oxygenation system for carp aquaculture as the research object,an aeration control system model was built in Simulink.An adaptive fuzzy PID control strategy was designed to control the dissolved oxygen content in the aquaculture pool,and its effectiveness was verified through simulation.Results:The experimental results showed that compared with conventional PID algorithms,this control strategy had lower overshoot,shorter time to enter stability,and better disturbance suppression performance.Conclusion:The adaptive fuzzy PID control method had good stability and dynamic control performance in the control process of freshwater aquaculture aeration aerators,and the control effect was good.It provided new ideas for precise control of dissolved oxygen content in freshwater.
关 键 词:自适应模糊PID控制 溶解氧控制 水产养殖 增氧机
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