Control strategy of coiling tension based on RBF-NN inverse system

摘要：

　　Based on the study of coiler tension indirect control process,the purpose is to improve the control accuracy of the constant tension by the introduction of RBF neural networks and inverse system control theory.Depending on the physical characteristic of coiling tension control process,it could build the inverse system model for coiling tension control.By analyzing simulation results,this control strategy has great significance to the actual production.

关键词： Radial basis function Neural network Inverse system Control strategy

作者: Chaowei Duan Chao Zhang

作者单位: Henan Mechanic and Electric Engineering College,Xinxiang,Henan,China,453003

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1276-1279

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）