Chaotic optimization and Taboo search algorithms for design of underwater thruster motor

Abstract

Based on the analysis of the properties of Taboo search and chaotic optimization algorithm, a hybrid optimal method is proposed to solve nonlinear constraint optimization of underwater thruster motor design by the use of properties of ergodicity, randomicity and regularity of chaotic motion, which can enhance the speed of convergence and improve the accuracy of solution. The mathematical model of robot motor is set up. The optimized design results for a 0.45 hp thruster motor are presented.