Abstract：In order to improve the strip flatness quality, flatness control system was developed and applied in the skin pass mill of the continuous annealing line. The flatness control algorithm based on fuzzy inference was used in control system, which can tune the gain factor according to flatness deviation magnitude and variation. When flatness deviation magnitude or variation is big, control algorithm can adjust flatness to set point value rapidly，which can ensure flatness deviation to be always limited to a less extent. Up to now, flatness control algorithm has been applied to two continuous annealing lines in Baosteel, both of them achieve desired control effects.
收稿日期: 2013-03-11
出版日期: 2013-09-16
引用本文:
徐江华，李山青. 基于模糊推理的板形自动控制算法及其应用[J]. 钢铁, 2013, 48(9): 45-49.
XU Jiang-hua,LI Shan-qing. Flatness Control Algorithm Based on Fuzzy Inference and Its Application. Iron and Steel, 2013, 48(9): 45-49.
汪祥能, 丁修堃. 现代带钢连轧机控制. 东北大学出版社, 1996.Wang, Y.G. and Shao, H.H. Optimal tuning for PI controller. Automatica, 2000, 36(1): 147-152.Xu, J.H. and Shao H.H. Advanced PID Tuning for Integrating Processes with a New Robustness Specification,Proceedings of American Control Conference, 2003, 3961~3966.李卓，萧德云，何世忠. 基于Fuzzy推理的自调整PID控制器.控制理论与应用. 1997, 14(2), 238~243
汪祥能, 丁修堃. 现代带钢连轧机控制. 东北大学出版社, 1996.Wang, Y.G. and Shao, H.H. Optimal tuning for PI controller. Automatica, 2000, 36(1): 147-152.Xu, J.H. and Shao H.H. Advanced PID Tuning for Integrating Processes with a New Robustness Specification,Proceedings of American Control Conference, 2003, 3961~3966.李卓，萧德云，何世忠. 基于Fuzzy推理的自调整PID控制器.控制理论与应用. 1997, 14(2), 238~243
2013, Vol. 48 
