Application and amend of syncopating rolling-process in minitype half-continuous rolling mill 小型半連軋切分軋制的應(yīng)用和改進(jìn)
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 在此基礎(chǔ)上,基于補(bǔ)償控制思想,利用神經(jīng)pid對傳統(tǒng)pid進(jìn)行補(bǔ)償,設(shè)計了一種混合pid控制器;神經(jīng)網(wǎng)絡(luò)與自校正控制的結(jié)合,使得自校正方法能對非線性系統(tǒng)實現(xiàn)比較理想的控制效果;利用模糊控制與神經(jīng)網(wǎng)絡(luò)控制各自的優(yōu)點,提出了一種基于快速bp算法的神經(jīng)網(wǎng)絡(luò)自適應(yīng)模糊控制器,能夠?qū)ο到y(tǒng)進(jìn)行在線控制。最后將混合pid控制應(yīng)用于h型鋼連軋機(jī)張力系統(tǒng)中,實現(xiàn)微張力控制,仿真結(jié)果說明其較傳統(tǒng)pid具有更好的性能,同時也為其它類似系統(tǒng)的控制提供一些參考。