Analysis of Three-Body Pitching Motion of New Unmanned Boat Based on Genetic Algorithm

When the current rescue unmanned boat is sailing on the sea, the vertical shake on the boat is too large, which will lead to a great reduction in the sailing performance of rescue unmanned boats. This article uses the three-body boat modal water vertical shake attenuation experiments as the research object. The programming ideas based on systematic identification methods and genetic algorithms, and establish four vertical system identification mathematical models. Through experiments, the peak of the boat model increased, the peak of the vertical corner speed increased, and the time of the boat model reached a stable state increase. Secondly, the best fitting model pitch motion identification equation is obtained, which not only verifies the feasibility of the unmanned vehicle model, but also verifies the reliability of the adapted software. Finally, through the comparison of dual - boating models, the three-body boat models have a good reduction effect.