Optimal design of thruster motor for underwater robot

Abstract

Based on the analysis of the properties of Alopex and chaotic optimization algorithm, a hybrid optimal method is proposed to solve nonlinear constraint optimization design of underwater thruster motor, which can enhance the speed of convergence and improve the accuracy of solution. The distribution curve of air gap flux density at rated load is illustrated.