基于免疫遗传算法的潜艇水动力系数优化研究

Optimization Research on Hydrodynamic Coefficients of Submarine Based on Immune Genetic Algorithm

针对潜艇空间运动方程中的水动力系数优化问题,采用一种基于适应性权重免疫遗传算法解决多目标非线性优化问题。选择若干对潜艇操纵控制具有高敏感度的水动力系数作为优化变量,运用适应性权重方法确定权重和目标函数,将多目标优化问题转化为单目标优化问题进行处理。针对某型潜艇,选取水平面Z型操舵机动、垂直面梯形操舵机动和水平面定常回转运动3种典型运动形式作为研究对象,就水动力系数优化前后的效果进行了仿真分析,证明了本文采用的优化方法的有效性。

For the optimization of hydrodynamic coefficients in submarine space motion equations, an adaptive weight immune genetic algorithm was used to optimize the hydrodynamic coefficients. Some hydrodynamic coefficients sensitive to the control and maneuvering of submarine were chosen as the optimization variable in the algorithm, by using adaptive weight method to determine the weight and target function, the multi-objective optimization is translated into single-objective optimization. For a kind of submarine, three typical maneuvers of overshoot maneuver in the horizontal plane, overshoot maneuver in the vertical plane and turning circle maneuver in the horizontal plane were chosen as researched objects. The efficiency of the method was proved by the computer simulation of primal hydrodynamic coefficient and optimized hydrodynamic coefficient.