Analysis of Comprehensive Optimization of Navigation Performance of High Speed Catamaran Unmanned Craft

Chengqi Cai, Shasha Gao, Songlin Yang, Yan Shi, Xiaoyu Huang

The high-speed catamaran unmanned craft is taken as the research object. A comprehensive optimization mathematical model with rapidity, maneuverability and stability as the objective function was established. The genetic algorithm and particle swarm optimization algorithm were used to optimize the calculation respectively. Then, select the better ones and the algorithm was used to calculate the sensitivity of the five main variables (propeller diameter, pitch ratio, speed, speed, and body spacing) and the effects of different weight assignments on the objective function were discussed. The calculation results show that the particle swarm optimization algorithm is superior to the genetic algorithm. The propeller diameter is the most sensitive variable among the five variables. When the rapidity weight is 9/5, the maneuverability is 4/5, and the stability is 25/36, the equation Constraint satisfaction is best.

https://dx.doi.org/10.31873/IJEAS.6.1.04