首页|基于BP-FWA算法的无人艇载火箭炮回转机构伺服控制系统研究

基于BP-FWA算法的无人艇载火箭炮回转机构伺服控制系统研究

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针对目前传统艇载火箭炮回转机构控制误差大、精度低及行驶中抗干扰能力弱等问题,提出基于烟花算法(BP-FWA)神经网络算法无人艇载火箭炮回转机构伺服控制研究.构建某无人艇载火箭炮回转机构伺服控制构架;建立回转机构数学模型,结合DSP进行控制信号处理;提出BP-FWA算法模型设计,实现对回转机构伺服控制的精确优化控制.结果表明:该算法下的伺服控制系统响应速度快、控制精度高、误差小及抗干扰能力强,提升无人艇载火箭炮的运行效果,具有很重要军事工程应用价值,为实现我海军艇载武器装备的智能化水平提供重要的支撑.
Research on the Servo Control System of the Revolving Mechanism of Unmanned Submarine Rocket Launcher Based on BP-FWA Algorithm
This study proposes a servo control investigation into the rotation mechanism of unmanned boat-mounted rocket launchers,with the objective of addressing the issues of significant control errors,low accuracy,and inadequate anti-interference capability inherent to traditional boat rocket launchers.The proposed investigation is based on the BP-FWA algorithm.A servo control framework for the rota-tion mechanism is to be constructed,a mathematical model of the rotary mechanism established and DSP for control signal processing combined with it.The BP-FWA algorithm model is to be proposed as a means of achieving precise optimisation control of servo control.The results demonstrate that this al-gorithm exhibits a rapid response time,high control accuracy,minimal errors,and robust anti-interfe-rence capabilities,thereby enhancing operational effectiveness and offering substantial military engi-neering application value.It provides crucial support for attaining the intelligent level of naval boat-based weapons and equipment.

unmanned boatsshipborne rocket artilleryBP-FWA neural network algorithmrotating mechanismDSPservo control

岳光、邱海莲、任琳、潘玉田、郭保全

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太原工业学院自动化系,山西 太原 030008

云南省机械研究设计院有限公司,云南 昆明 650031

太原工业学院 电子工程系,山西 太原 030008

中北大学 智能武器研究院,山西 太原 030051

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无人艇 舰载火箭炮 BP-FWA神经网络算法 回转机构 DSP 伺服控制

国家自然科学基金项目山西省高等学校科技创新项目太原工业学院青年(后备)学科带头人资助项目

517660112023L34221020909

2024

火炮发射与控制学报
中国兵工学会

火炮发射与控制学报

北大核心
影响因子:0.337
ISSN:1673-6524
年,卷(期):2024.45(4)