重型机械Issue(4)：27-32,37,7.
双机架铝带连轧机张力系统的模糊神经PID控制
Fuzzy neural PID control of tension system in aluminum strip cold rolling mill with double-stand
李联飞 1许展望 1连斌忠 1郭(韋華) 1梁光正1
作者信息
- 1. 中国重型机械研究院有限公司,陕西西安710032
- 折叠
摘要
Abstract
Aiming at the parameter time - varying, nonlinear problems and the limitations of traditional PID parameter tuning existing in the tension control system during aluminum strip cold tandem rolling, a mathematic model of speed - tension system was built. Under the criteria constraints of minimum integrated absolute error (IAE) and maximum sensitivity ( Ms) , a new control strategy is proposed, which train fuzzy neural network ( FNN ) by off - line dominant pole assignment, and gain appropriate PID controller parameter according to the change of system parameters. The Matlab simulation shows that the control algorithm has good dynamic characteristic and the control accuracy, and possesses perfect control effect upon time - varying parameter of tension control system.关键词
铝带冷连轧机/张力控制系统/极点配置/模糊神经PID控制/Matlab仿真Key words
aluminum strip cold rolling mill/ tension control system/ pole assignment/ fuzzy neural network PID control/ Matlab simulation分类
矿业与冶金引用本文复制引用
李联飞,许展望,连斌忠,郭(韋華),梁光正..双机架铝带连轧机张力系统的模糊神经PID控制[J].重型机械,2012,(4):27-32,37,7.
