模糊单神经元混合控制的轧机扭振抑制研究  

Study on Torsional Oscillation Suppression of Rolling Mill Based on the Fuzzy Single Neuron Mixed Control

作　　者：黄石[1] 廖勇[1] 许如琴[2] 向大为[1] 

机构地区：[1]重庆大学输配电装备及系统安全与新技术教育部重点实验室,重庆400044 [2]辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001

出　　处：《电气传动》2008年第11期3-7,共5页Electric Drive

摘　　要：在轧机轧制过程中,运行工况的变化可能诱发扭振,严重影响轧机轴系的安全。通过分析轧机扭振产生的原因,针对传统PI控制方式对轧机扭振抑制的不足,提出采用模糊单神经元混合控制的方法,在误差较大的情况下采用模糊控制,加快系统的动态响应速度,在误差较小的情况下采用单神经元控制,提高系统的稳态精度,从而达到对轴系扭振进行抑制的目的。When the operation state changed in the process of rolling, the rolling mills could arouse torsional oscillation, which could affect the shafts safety. In the light of deficiency in the traditional PI control method used in suppressing the torsional oscillation, as well as by analyzing the reason for oscillation, the fuzzy single neuron mixed control method was presented to suppress the torsional oscillation of shaft. The fuzzy control method is adopted in the case of big error to quicken the dynamic response, while the single neuron control method is adopted in the case of small error to improve the steady precision.

关 键 词：模糊控制 单神经元控制 轧机扭振 模糊单神经元混合控制 

分 类 号：TM32[电气工程—电机]