Synchronous Control of Flying-type Welder Based on RBF Neuron Network
According to the traveling behaviors of Flying-welder and billet being rolling in a EBROS (Endless-bar Rolling System), an inverse mode of welder driving system is identified off-line based on RBF neural networks,a disturbance observer is established with a filter to predict and at last remove the disturbances existed inside the system or from outside;a single neural composite-controller is used to improve the dynamic and static properties of the system,and strength the tracking performance of welder for the billet being rolled.The simulation results on the system dictates that this control strategy can well remove the mechanical coupling forces between the billets being rolled and the welder,improve the dynamic tracking performance of welder for the billet being rolling.
endless rolling synchronous control RBF composite control disturbance observer
Xinxue Sun Qian Rong Yongling Fu Ning Lu
Department of Mechanical Engineering Hebei Institute of Architectural and Civil Engineering zhangjia Department of Automation Science Beijing University of Aeronautics and Astronautics Beijing,China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）