论文部分内容阅读
针对某1420mm冷连轧机第1机架板形闭环控制系统,客观存在带钢运行速度慢(时滞严重)、轧制力不稳定、轧辊磨损严重和来料带钢板廓波动剧烈等因素,目前在线使用的PID控制算法难以满足进一步提高板带轧机板形控制精度的要求。为实现其精确控制,应用模型预测控制(MPC)理论,设计预测控制器,并采用滚动优化、反馈校正的控制策略。构造状态预测观测器,使闭环系统的时滞项移至系统闭环结构之外,从而使其优化控制规律完全可按无时滞系统进行设计。仿真研究结果表明该方法远比目前带钢生产中广为采用的PID控制策略优越,系统的响应快,超调小,鲁棒性强。
For a 1420mm tandem cold mill No. 1 frame plate closed-loop control system, the objective existence of the strip running slow (severe lag), the rolling force instability, serious wear and tear of the roller strip and the sharp fluctuations in the incoming strip and other factors, the current The PID control algorithm used online is difficult to meet the requirements of further improving the strip shape control accuracy of strip rolling mill. In order to realize its precise control, the model predictive control (MPC) theory is applied and the predictive controller is designed. The control strategy of rolling optimization and feedback correction is adopted. The state predictive observer is constructed so that the lag term of the closed-loop system is moved out of the closed-loop structure of the system so that the optimal control law can be completely designed in a time-delay-free system. The simulation results show that this method is far superior to the PID control strategy widely used in strip production. The system has fast response, small overshoot and strong robustness.