OPTIMIZATION OF VESSEL DEGAUSSING SYSTEM BASED ON POLY-POPULATION PARTICLE SWARM ALGORITHM

摘要

With the development of vessel degaussing technology, more and more degaussing coils are being adopted. Thus, conventional methods to calibrate the degaussing system are increasingly difficult to implement. In order to solve this problem, the poly-population particle swarm algorithm was applied to compress search space, which can improve the probability of searching global optimization solution. This method was applied to adjust vessel degaussing system. Simulation results are presented, which show that this algorithm has more advantages than other ones, in terms of minimizing the root mean square and peak of the vessel degaussing magnetic field signature, and that this method can be used to optimize one or more parameters relating to the vessel's magnetic field signature, so the vessel degaussing system is calibrated to an optimal state, and the vessel's magnetic safety is ensured. Furthermore, this optimization has many excellences such as intuitional algorithm, simple program, high calculating speed, all these make it is easy to collaborate multi-computer and apply to real project.