Research on the coefficients identification of submarine training simulator based on particle swarm optimization

摘要

Due to the 108 hydrodynamic coefficients of the 6 DOF submarine space motion equation are hard to acquire accurately, this paper simplify and identify the model using the particle swarm optimization based on sensitivity index of the coefficients. We define the manipulate evaluation, determine the mathematical expression of the identification, restrict the type, range, field of definitions and evaluation function of the manipulate experiment. Improve the particle swarm optimization algorithm based on the sensitivity index. Through a mount of simulation calculation, this paper modifies the hydrodynamic coefficients of equations of submarine training simulator.