Smith Prediction Monitor AGC System Based on Fuzzy Self-Tuning PID Control

钢铁研究学报(英文版), 2010, 17(2): 22-26.

^1, , ^2, , ^3, , ^4, , ^5,

1.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

2.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

3.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

4.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

5.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

基金项目: 国家自然科学基金(50634030)

Smith Prediction Monitor AGC System Based on Fuzzy Self-Tuning PID Control

SUN Jie ^1, , ZHANG Dian-hua ^2, , LI Xu ^3, , ZHANG Jin ^4, , DU De-shun ^5,

1.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

2.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

3.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

4.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

5.State Key Laboratory of Roiling and Automation,Northeastern University,Shenyang 110004,Liaoning,China

Keywords： monitor AGC

In accordance with the feature of pure delay in monitor AGC system for cold roiling 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 of dynamic performance for traditional PID Smith prediction controller and fuzzy self-tuning PID Smith prediction controller is done by MAT-LAB toolbox. The simulation results show that fuzzy self-tuning PID Smith controller has stronger robustness, fas-ter response and higher static accuracy than traditional PID Smith controller.

参考文献

[1]	DING Xiu-kun.Rolling Process Automation[M].北京:冶金工业出版社,2002
[2]	Ibrahim Kaya .Improving performance using cascade control a smith predictor[J].ISA Transactions,2001(3):223-234.
[3]	Smith O J .A Controller to Overcome Dead Time[J].ISA Journal,1959,6(02):28.
[4]	Smith O J .Closed Control of Loops With Dead Time[J].Chemical Engineering Progress,1957,53(05):217.
[5]	Palmor Z J .Stability Properties of Smith Dead Time Compensator Controller[J].International Journal of Control,1980,32(03):937.
[6]	Palmor Z J;Blau M .An Auto Tuner for Smith Dead-Time Compensator[J].International Journal of Control,1994,60(01):117.
[7]	QI Chun-yu,DI Hong-shuang,ZHANG Xiao-ming,GAO De-fu.Application of Fuzzy Logic Controller to Level Control of Twin-Roll Strip Casting[J].钢铁研究学报(英文版),2003(04):28-32.
[8]	刘建昌,顾树生,郑士富,弭洪涛.Smith预估控制策略在AGC系统中的应用[J].钢铁,1998(10):40-43.
[9]	HAN Li-qiang;LI Zhi-hong.An Improved Smith Predictor and Its Application for AGC in the Roll[J].Journal of Hebei University,2004(02):131.
[10]	FANG Yi-ming;HUANG Zhen-hai;JIAO Xiao-hong.Model Reference Fuzzy Adaptive Controller Designing of Hydraulic Servo Position Model[J].Automation and Instrumentation,2002(03):6.
[11]	何立平,李旭,刘相华,张殿华,彭泽波,张其生.热连轧带钢卷取温度的模糊预估控制[J].钢铁研究学报,2006(08):23-27.

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