Research on Optimization of Degaussing Current of Submarine Based on Improved Cuckoo Algorithm

The induced magnetic field of the submarine is an important physical field that exposes itself. It can be eliminated by placing a fixed winding on the hull and inputting a real-time current to generate a magnetic field to reverse-fit it. In the modern degaussing system, the control of the degaussing current is the most important link in the degaussing system. In order to achieve a good demagnetization effect, this paper improves the basic cuckoo algorithm, and proposes a cuckoo algorithm based on the logarithm of non-linear inertial weights and adaptive adjustment of the discovery probability. Then use the finite element analysis software FLUX 3D to model the submarine magnetic field and demagnetization winding to verify the effectiveness of the algorithm. Simulation results show that the algorithm has a strong global search capability, and has the advantages of fast convergence speed and stable optimization results. Through data comparison and result analysis, the algorithm has good degaussing optimization effect under different objective functions.