基于迭代学习控制的投料机称重控制系统设计  

Design of Weighing Control System of Screw Feeder Based on Iterative Learning Control

作　　者：刘博[1] 刘晓[1] 李明 段英杰[1] 

机构地区：[1]山西省交通科学研究院,山西太原030006 [2]吉河高速公路建设管理处,山西临汾042100

出　　处：《筑路机械与施工机械化》2016年第6期101-103,109,共4页Road Machinery & Construction Mechanization

基　　金：山西省交通运输厅交通建设科技项目(15-2-05)

摘　　要：由于现有沥青拌和站投料设备的称重控制系统加料精度不稳定,故无法适应不同类型的物料。利用OPC实现Matlab与PLC之间的通讯,突破了PLC编程语言的限制,将迭代学习控制算法应用在PLC中,采用PI型学习控制律,分析了不同增益参数对系统性能的影响。结果表明:将迭代学习控制算法应用在称重控制系统中,能明显降低投料误差,改善其鲁棒性。Since the feeding precision of weighing control system of screw feeder for asphalt mixing plant is unstable currently and can not handle different materials.OPC was used to implement the communication between Matlab and PLC, which is a breakthrough of the limitations of PLC programming language,and iterative learning control algorithm could be applied to the PLC.The influence on the weighing control system＇s performance was analyzed using PI learning control law.It shows that the feeding error is reduced,and the robustness is improved with the application of iterative learning control algorithm to the weighing control system.

关 键 词：投料机 OPC 称重控制系统 迭代学习控制 

分 类 号：U415.5[交通运输工程—道路与铁道工程]