汽车起重机力矩限制器算法模型的实现  

The Application of BP Neural Network in Truck Crane Torque Limiter

作　　者：姚立娟 曾杨 郑庆华 刘涛 

机构地区：[1]长沙中联重工科技发展股份有限公司总部研究院,长沙410013

出　　处：《机械设计与研究》2011年第1期106-108,共3页Machine Design And Research

基　　金：国家863项目资助项目(2008AA042803)

摘　　要：利用BP网络的函数逼近性能与力矩限制器力矩平衡理论相结合的方法,根据现场采集的汽车起重机工况数据,设计BP网络结构,对数据样本进行训练,从而构建出力矩限制器中计算吊重的网络模型,并用大量的试验数据进行验证,结果表明该方法有效可行,为起重机力矩限制器算法模型的建立提供了一种新方法。In this paper,a modeling method of track crane torque limiter is presented via torque equilibrium theory and funetiun approximation capabilities of BP neural network. The network structure is designed and the data sample is trained by studying and analyzing the working condition data of truck eraneo And then the load computation network model of torque limiter is completed and verified with a lot of experiment data. The testing results prove the value of the modeling method, furthermore it provides a new method for modeling the algorithm of torque limiter.

关 键 词：汽车起重机 力矩限制器 BP网络 算法模型 超载保护 

分 类 号：TH865[机械工程—仪器科学与技术]