A study on adaptive switching control for rolling mill thickness based on fuzzy reasoning
| Autor: | Gang Chen, Xin-tian Jiang, Yuqing Nan, Sai Cao, Peng Kou |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Adaptive control Fuzzy rule business.industry PID controller 020207 software engineering 02 engineering and technology Fuzzy control system Adaptive switching 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Fuzzy reasoning Rolling mill business Fuzzy adaptive control |
| Zdroj: | 2016 35th Chinese Control Conference (CCC). |
| DOI: | 10.1109/chicc.2016.7554866 |
| Popis: | This paper focuses on the improvement of the gauge control accuracy of head and tail of cold rolled strip with the control strategy based on fuzzy rule switching. The exact mathematical model of the head and tail rolling is hard to be developed because of the lager parameters perturbation, external disturbance, etc, which results in the gauge oversizing of head and tail segment. This article proposes a control approach based on fuzzy rule switching which combines the fuzzy adaptive control and the conventional PID control. Simulation and experimental results show that the proposed strategy can improve the gauge control precision, reduce the out-gauge length of the head and tail segment and the system instability caused by traditional threshold switching is avoid. The plate yield has been increased. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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