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.
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