application and amend of syncopating rolling-process in minitype half-continuous rolling mill 小型半连轧切分轧制的应用和改进
based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed . combined with neural network, self-tuning control can realized better control over non-linear system . utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line . at last, the hybrid pid controller is applied in tension system of h-section continuous rolling mills and tension-free control is realized . the simulation results show that it has better performance than traditional pid controller . at the same time, it provides some reference for the control of other similar systems 在此基础上,基于补偿控制思想,利用神经pid对传统pid进行补偿,设计了一种混合pid控制器;神经网络与自校正控制的结合,使得自校正方法能对非线性系统实现比较理想的控制效果;利用模糊控制与神经网络控制各自的优点,提出了一种基于快速bp算法的神经网络自适应模糊控制器,能够对系统进行在线控制。最后将混合pid控制应用于h型钢连轧机张力系统中,实现微张力控制,仿真结果说明其较传统pid具有更好的性能,同时也为其它类似系统的控制提供一些参考。