The On-line Monitoring System of Tower Crane Load Based on FLNN

摘要：

　　By force analysis of load limiter,the nonlinear relation between the load and the force of sensor in indirect measurement of tower crane load is indicated.Using the force of sensor as input and the load as output,the nonlinear correction model based on functional link neural network (FLNN) is proposed to eliminate the nonlinear errors of load measurement.By adding some high-order terms,the model uses the single-layer network to realize the network supervised learning.The approach can improve network learning speed and simplify the network structure,and provides a new way for On-line measurement of tower crane load.The system realization and network simulation about tower crane QTZ63 are presented,Practical application shows that the maximum relative error of measured load is less than 2.1% and can satisfy National standard GB5144-94.

关键词： tower crane load functional link neural network on-line monitoring system nonlinear correction

作者: Quanmin GUO Hui HU

作者单位: School of Electronics Information Engineering,Xian Technological University,Xian,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 1373-1377

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）