This paper presents a solar inverter-driven intelligent aeration control system designed to address these challenges. By integrating solar power technology with advanced control algorithms, the system optimizes energy utilization, reduces operational costs, and enhances dissolved oxygen management. With decreasing labor availability for aquaculture and increasing demand for aquaculture products, there is an urgent need for a new intelli-gent aquaculture model. In the past, aquaculture was dominated by labor-intensive methods, with farm managers relying on experience and intuition to check water quality and feed fish manually. This study presents the design, simulation, and experimental validation of an intelligent multivariable control system for aquaculture tanks aimed at cultivating. Some solutions can be mentioned as follows: One is the solution to improve the oxygen fan system to save electricity in aquaculture to improve the drive shaft of the motor to be coaxial with the rotation axis of the fan system [4 ] and.
