Abstract：In view of the process of automatic flatness control and automatic gauge control (AFC-AGC) is a nonlinear system with strong coupling and pure time delay, has established the mathematical model of automatic flatness control and automatic gauge control system. According to the online rolling situation, it confirms the neural network decoupling and proposes to the plastic rigidity parameter choice use scope based on self-tuning PID with diagonal recurrent neural network (DRNN) decoupling control method, The simulation result indicated that control system has the decoupling effect to be good, and the speed of response is quickly, and has good performances of adaptively tracking target and so on. Meanwhile it also meets the actual rolling requirement, and enhanced effectively strip flatness and gauge control precision.
杨景明 杜鹏 车海军 张林浩. 基于DRNN－PID的板形板厚解耦控制[J]. 钢铁, 2010, 45(3): 57-57.
. Strip Flatness and Gauge Decoupling Control Based on Self-tuning PID with Diagonal Recurrent Neural Network. Iron and Steel, 2010, 45(3): 57-57.
2010, Vol. 45 
