基于Agent理论的多无人地面平台协同控制仿真研究  

Simulation Research on Cooperative Control of Multi Intelligent Ground Platform Based on Agent Theory

作　　者：张云荣 张志利 李向阳 王红光 米文鹏 孔祥通 刘朋朋 Zhang Yunrong;Zhang Zhili;Li XiangYang;Wang Hongguang;Mi Wenpeng;Kong Xiangtong;Liu Pengpeng(Rocket Sergeant School,Qingzhou 262500,China;Rocket Force University of Engineering,Xi'an 710025,China)

机构地区：[1]火箭军士官学校,山东青州262500 [2]火箭军工程大学,陕西西安710025

出　　处：《系统仿真学报》2020年第7期1211-1219,共9页Journal of System Simulation

基　　金：国家自然科学基金(61702524);陕西省自然科学基金(2016JQ6052)。

摘　　要：为提升多无人地面平台协同控制能力,适应新形势下智能战争趋势,基于JADE和World Wind Java构建了多智能体地面平台协同控制仿真系统。运用多Agent理论建立无人地面平台仿真模型,基于JADE构建协同控制仿真平台,运用粒子群算法优化任务分配机制。仿真实验表明,构建的协同控制仿真平台具有良好的鲁棒性和灵活性,优化后的任务分配机制使得多无人地面平台群体执行任务效率明显提高,且可应用于其他海上、空中无人平台的仿真研究。In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation,a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed.Based on multi-agent theory,the simulation model of intelligent ground platform is build.Based on JADE,the cooperative Control simulation platform is constructed.The task allocation mechanism is optimized by the particle swarm optimization algorithm.The simulation results show that the cooperative Control simulation platform has good robustness and flexibility.The optimized task allocation mechanism can improve the efficiency of the multi intelligent ground platform group,and can be applied to the simulation of the other intelligent platforms on the sea and in the air.

关 键 词：无人地面平台 协同控制 仿真模型 粒子群算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]