摘要
针对1 850 mm双机架铝带冷连轧过程中张力控制系统(ATC)存在参数时变、非线性等问题和传统PID参数不易整定的局限,建立了速度-张力系统数学模型,在误差绝对值积分函数(IAE)和最大灵敏度(Ms)的准则约束下,提出了通过离线极点配置训练模糊神经网络(FNN),在线FNN可以根据系统参数的变化获取恰当PID控制器参数的控制策略。Matlab仿真表明,本控制算法具有较好的动态特性和控制精度,对参数时变性的ATC系统具有良好的控制效果。
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 charac- teristic and the control accuracy, and possesses perfect control effect upon time - varying parameter of tension control system.
出处
《重型机械》
2012年第4期27-32,37,共7页
Heavy Machinery
