A METHOD OF FLATNESS CONTROL BASED ON GENERALIZED PREDICTIVE CONTROL IN A COLD ROLLING PROCESS

摘要：

The delay of flatness measurement signal exists in low-speed cold rolling process, which influences the performance of closed loop control system. In this paper, the flatness predictive control algorithm is proposed. Our approach is based on the fact that the prediction model of symmetrical and asymmetrical coefficients can be obtained through multiple linear regression. And then receding horizon optimization and online identification are developed to obtain control sequence. The simulation results exhibit the effectiveness of our method.

关键词： Multiple linear regression Flatness coefficients GPC Receding horizon optimization

作者: WUMING JIN JINKUAN WANG QIANG ZHAO YINGHUA HAN

作者单位: Northeastern University at Qinhuangdao, Shenyang, Liaoning Province, 110004, China

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 766-771

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）