Research on Optimization Design Method of Underwater Solenoid Electromagnet Based on ACO Algorithm

The DC solenoid electromagnet can change its own displacement through the change of the magnetic field and then perform the corresponding action, and is widely used in underwater equipment. The electromagnetic force of the electromagnet in the working range is its important performance, but due to the nonlinear characteristics of the magnetic field, there is no unified and effective optimization design method. Aiming at this problem, this paper proposes an electromagnet optimization algorithm based on ant colony optimization algorithm (ACO) and simulates it based on ANSOFT software. The simulation results show that, compared with the conventional design method, this method can effectively improve the suction force of the electromagnet.