Rolling mill interstand section Linguistic Fuzzy-Logic Control

Abstract

Linguistic Fuzzy-Logic Control (LFLC) is a tool developed by University of Ostrava to support an efficient and effective description of a control strategy. By using this tool, it is very easy to make good use of experts' know-how as well as assembling a very complicated control strategy with very good final results in quality. Moreover, the control strategy assembled by LFLC can be easily transmitted to a similar system and can be modified only by input and output contexts adaptation - with good results again. Thanks to the LFLC features, the regulator can be easily scaled. The poster demonstrates application of the LFLC tool for rolling mills intersection control. The intersection control is a good example of a highly demanding process requiring fast, accurate, and powerful response. For this reason, the intersection control is a very good test of the LFLC possibilities. In the poster there are some interesting results of comparison between LFLC control and classic PID control. All tests are done by means of simulation models.