摘要
磁导航AGV小车在自动化仓储物流配送系统中应用广泛,使用的磁导航方式在导引方式中使用较多。该导航方式在路面上预先规划路径并铺设磁条,通过磁感应信号实现导航,成本较低,可靠性强。文章对传统磁导航传感器进行了进一步的研究,通过使用卡尔曼滤波算法对检测到的数据进行处理,使得磁条位置检测更加准确,行进路线可靠性提高,路径设计及更改更加灵活,为仓储物流中货物的生产和搬运提供了进一步的保障。
The magnetic navigation AGV car is widely used in automated warehouse logistics distribution system, and the magnetic navigauon is used more in the navigation mode. The navigation mode is used to plan the path on the road surface, and the mag- netic strip is paved, the navigation is realized by the magnetic induction signal, the cost is low, and the reliability is strong. This paper gives a further study on the traditional magnetic navigation sensor was processed by using Calman filtering algorithm to de- tect the data, so that the position of the magnetic strip detection is more accurate and improve the action route reliability, path design and change more flexible and provide further support for the production and handling of goods in storage and logistics of logistics industry.
作者
谭雪
戴更新
TAN Xue DAI Gengxin(School of Business, Qingdao University, Qingdao 266071, China)
出处
《物流科技》
2017年第8期37-39,42,共4页
Logistics Sci-Tech
基金
山东省自然科学基金项目
项目编号:ZR2015GM001
关键词
AGV
磁导航传感器
卡尔曼滤波
物流仓储
AGV
magnetic navigation sensor
Calman filter
, logistics storage