The Maneuvering Motion Mode Identification and Analysis of Unmanned Surface Vehicle

In this paper, the unmanned surface vehicle (USV) turning test and zig-zag test are performed and the test data are acquired. The identification mathematical model of the turning and zig-zag test has been established respectively, which has been connected with optimization algorithms including roulette genetic algorithm and growth mechanism genetic algorithm. Optimal identification results are achieved by means of the identification computation. The fitting turning diameter formula and the fitting turning index and the rudder index formula are obtained conclusively, which can provide reference for the investigation of the maneuvering motion mode of USV.