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Research on Integrated Strategy of Strip Thickness Control

Author: WangZhiGang
Tutor: LiuJianChang
School: Northeastern University
Course: Control Theory and Control Engineering
Keywords: time delay Automatic Gauge Control (AGC) rolling process modeling CMAC neural network Smith predictor Smith-AGC Mass Flow AGC integrated thickness control strategy
CLC: TG335
Type: Master's thesis
Year: 2005
Downloads: 403
Quote: 3
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Abstract


The AGC (Automatic Gauge Control) System in the four stands of BenXi tandem cold mill is programmed by block programming language, P80i and LCR1600, and run in HPCi industrial computer and JS1600 computer. The AGC system is made of the Feedforward control system and Smith-AGC& Mass Flow AGC system on the first stand, the Feedforward control syetem on second stand and the Exit AGC system on the fourth stand. The dissertation gives the AGC system structure based on the deep analyse and research on Smith-AGC system and Smith-AGC& Mass Flow AGC integrated thickness control strategy, whose key control algorithm, computing model are reasoned as well as its physical meaning analyse. The dissertation also analyzes the Smith prediction strategy, the rationality of Smith-AGC structure and the stability of Smith-AGC system. Based on the research of Smith-AGC& Mass Flow AGC integrated thickness control strategy, how it can work well in different phases such as accelerating for starting up, stable rolling, decelerating for stopping mill is also analyzed in detail. The dissertation also presents the advantage of Smith-AGC&Mass Flow AGC integrated thickness control strategy.Smith-AGC system can solve the time delay problem in theory which lies in AGC system. In fact the precision of rolling process model determines the precision of control in AGC system. The dissertation brings forward Smith-AGC& Mass Flow AGC integrated thickness control strategy based on neural network modeling. In this integrated thickness control strategy, rolling process model is displaced by CMAC neural network. Smith-AGC, Smith AGC& Mass Flow AGC integrated thickness control strategy and Smith AGC& Mass Flow AGC integrated thickness control strategy based on CMAC neural network modeling are all simulated on the first stand of tandem cold mill, BenXi Steel. The theory and experiment show that the Smith AGC&

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling process
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