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基于神经网络的无人船航向控制器设计

Course Controller Design of Unmanned Ship Based on Neural Network
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摘要 现在的传播控制模型参数多数是非线性的,传统的PID控制方法已经不能适应现在船舶技术发展的需要。随着海上防卫需求的迫切发展,无人船领域航向控制技术的发展需求更是迫切。论文通过综合各类无人船发展中的航向控制技术需求,介绍了一种基于神经网络的无人船航向控制器,根据仿真结果,对于无人船的控制效果有了较大的提升。 Most of the parameters of the current propagation control model are nonlinear,and the traditional PID control meth⁃od can not meet the needs of the development of the ship technology.Along with the urgent development of the maritime defense de⁃mand,the direction control technology in the field of unmanned ship is more urgent.In this paper,the technical requirements of course control for the development of various types of unmanned vessels are integrated.This paper introduces a course controller of unmanned ship based on neural network.According to the simulation results,the control effect of unmanned ship has been greatly improved.
作者 张东 ZHANG Dong(No.91202 Troops of PLA,Huludao 125000)
机构地区 [
出处 《舰船电子工程》 2024年第2期67-69,共3页 Ship Electronic Engineering
关键词 神经网络 PID控制算法 无人船 航迹控制 neural network PID control algorithm unmanned ship track control
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