An adaptive control system of flatness for tandem cold mill

Flatness is an important quality of the steel strip, and the flatness control is the key technology of modern rolling mills with high precision of flatness. Taking the adaptive flatness control system of tandem cold rolling mill as the research object, based on some theoretical research and simulation analysis on the adaptive flatness executing system control system, a Self-tuning control strategy based on BP neural network was designed, which can overcomes the disadvantage influence brought in by nonlinearity in use of neural networks. Due to join the adaptive mechanism, it can effectively solve the negative influence of the model change and environmental disturbance. Consequently, the dynamic performance of the flatness control system is improved.