Research And Explore On Layout Optimization Problem Of Unmanned Surface Vehicle

Unmanned Surface Vehicles (USV) with a high sailing speed, are capable of IntelligenceSurveillance&Reconnaissance (ISR), arm protection, mines sweeping, anti-submarine,precision strikes and other functions, widely display the great value of military application.However, complicated motion control requisition, poor sea and the unexpected risks in theprocess of executing tasks are huge challenges for USV which adopts autonomous controlsystem. With excellent stability in the ocean, avoiding overturning will guarantee theaccomplishment of USV’s design functions. And when USV capsized in accident, making iteasily recover to upright floating attitude with limited outside disturbances or active measures,directly relates to the vitality and battle effectiveness of USV. So, this paper mainly studiedthe USV’s layout optimization based on the stability and the ability of floating attituderecovery.1Improved the Particle Swarm Optimization. Improved the basic Particle swarmoptimization in the social relations and the parameters. Used the improved PSO to solve fourtypical multi-objective optimization functions and got credible results.2Calculated the USV stability in the MAXSURF software method and the MinimumWork Principle method. Compared and analyzed the two methods in the complexity and thecalculated results, chose the MAXSURF software to calculated the USV’s stability.3Parameterized the external characteristics of the USV, got the USV’s stability sampledata. Used the HYDROMAX software to calculate a variety of the USV’s stability states.Forecasted the USV’s stability using the BP neural network and GRNN neural network.Compared the performances of the two methods in the forecast results and the reliability.Selected GRNN neural network which performs better in non-linear fitting as the forecastmethod.4Solved the USV’s layout optimization problem based on the performance of stabilityand the ability of floating attitude recovery. Considering the three-dimensional layout of theUSV cabin, studied the Longitudinal Function method of constructing the features to providea reliable mathematical expression of the geometry constraints. Solved the USV’s layoutproblem with the improved multi-objective Particle Swarm Optimization algorithm andoffered a optimized layout program. 5Designed and carried out the USV high sailing speed experiment at set angles.Adjusted and fixed some USV parameters according to the experimental data of the sailingstates and stability. Compared the experimental data with the fluent numerical results,provided some useful information for the further research.