SUN Jie
,
ZHANG Dian-hua
钢铁研究学报(英文版)
In accordance with the feature of pure delay in monitor AGC system for cold rolling mill, a new fuzzy self-tuning PID Smith prediction controller is developed. The position control model is deduced based on a single stand cold rolling mill, and the fuzzy controller for monitor AGC system is designed. The analysis in dynamic performance between traditional PID Smith prediction controller and fuzzy self-tuning PID Smith prediction controller is done by MATLAB toolbox. The simulation results show that fuzzy self-tuning PID Smith controller has stronger robustness, faster response and higher static accuracy than traditional PID Smith controller.
关键词:
monitor AGC;fuzzy self-tuning PID control;Smith predictor;position control
LIU En-yang
,
ZHANG Dian-hua
,
SUN Jie
,
PENG Liang-gui
,
GAO Bai-hong
,
SU Li-tao
钢铁研究学报(英文版)
Abstract： Feedback control is one of the most important ways to improve coiling temperature control precision during laminar cooling process. Laminar cooling equipments of a hot strip mill and structure of the control system were introduced. Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively. Practical application shows that the feedback control system based on PI controller plays a limited role in improving coiling temperature control precision. The feedback control system based on Smith predictor runs stable and reliable. When the measured coiling temperature deviates from the target value, it can be adjusted to the required range quickly and steadily by Smith predictor feedback control, which improves the coiling temperature control precision greatly, and qualities of hot rolled strips are improved significantly.
关键词:
Key words: hot strip mill
,
laminar cooling
,
feedback control
,
Smith predictor
,
PI controller
