looper tension control system 活套张力自动控制系统
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The control strategy of prediction for a linear model based on BP-PID was introduced to improve control effect and to decouple the looper system.
采用线性预测模型的BP神经网络PID控制策略以减弱系统的耦合影响，以提高控制效果。
A neural network multivariable simple adaptive control (NNMSAC) is proposed, disposing of decoupling control with looper system in hot strip mill.
针对现代带钢热连轧中活套系统的解耦控制问题，提出了基于神经网络简单自适应多变量解耦控制方法(NNMSAC)。
After the parameters of the looper system and silicon control system were matched reasonably with each other, the non-tension rolling was realized.
根据该厂情况，将活套系统与轧机可控硅系统的参数合理匹配，实现了无张力轧制。
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