基于遗传算法的潜艇航迹定位系统设计

Design of submarine track location system based on genetic algorithm

潜艇航行过程中受到航迹惯性扰动的影响,导致定位精度不高,为了提高潜艇的航迹性能,提出基于遗传算法的潜艇航迹定位系统设计方法,以潜艇航行的俯仰角、横滚角和转向惯性力矩等参数为约束指标,构建潜艇航迹定位的姿态参量控制模型,对定位姿态参量采用遗传算法进行融合滤波,结合Kalman滤波进行小扰动抑制,提高潜艇航迹定位的抗干扰能力,实现航迹定位控制律优化。在控制模块进行算法的程序加载,实现定位控制系统的优化设计。仿真结果表明,采用该方法进行潜艇航迹定位控制的精度较高,定位抗干扰能力较强。

In order to improve the track performance of submarine, a design method of submarine track location system based on genetic algorithm is proposed, which is based on the pitch angle of submarine navigation. The parameters such as roll angle and steering inertia moment are taken as constraint indexes to construct the attitude parameter control model of submarine track positioning. The positioning attitude parameters are fused by genetic algorithm and small disturbance suppression is carried out with Kalman filter. The anti-jamming ability of submarine track positioning is improved, and the optimization of track positioning control law is realized. The algorithm is loaded in the control module to realize the optimal design of the positioning control system. The simulation results show that the accuracy of submarine track positioning control is high and the anti-jamming ability is strong.