Globally convergent approach based on chaotic theory for underwater robot motor optimization

Abstract

Based on the property analysis of chaotic theory, an chaos optimization algorithm is proposed to solve nonlinear constraint optimization design of underwater robot motor by the use of properties of ergodicity, randomicity and regularity of chaotic motion, which can enhance the speed of global convergence and improve the accuracy of solution. The mathematical model of robot motor is set up. Computer-aided electromagnetic field calculation is employed for the design of underwater robot thruster motor.