摘要
为了满足对拖拉机智能定位的需求,提出了一种基于粒子群优化和WSN的智能定位监测系统。该系统将粒子群优化算法与WSN无线传感器通信技术相结合,应用于车辆的实时定位,并利用Mat Lab对定位算法进行了仿真实验。结果表明:该系统能够准确估计拖拉机的位置,误差系数较小,能够准确完成对目标定位的功能,具有可靠性高、实时性强等优点。
In order to meet the demand of intelligent positioning of tractor,it proposed an intelligent location monitoring system based on particle swarm optimization（PSO） and WSN. The system combines the particle swarm optimization algorithm with WSN wireless sensor communication technology,which is applies to the real-time location of vehicle. And it uses MATLAB to simulate the positioning algorithm. The experimental results show that the system can accurately estimate the location of the tractor,the error coefficient is smaller,and it can accurately locate the target. It has the advantages of high reliability,real-time and so on.
作者
甘沛沛
Gan Peipei(College of Electronic Engineering, Shaanxi Aviation Professional Technical Institute, Hanzhong 723102, China)
出处
《农机化研究》
北大核心
2018年第8期249-253,共5页
Journal of Agricultural Mechanization Research
基金
陕西省教育厅专项科研基金项目(15JK1134)
陕西省教育厅专项科研基金项目(16JK1157)
陕西理工大学校级科研项目(SLGKY16-14)
关键词
拖拉机
智能定位
粒子群
WSN
tractor
intelligent positioning
particle swarm
WSN
