Design and Implementation of a Fuzzy Controller for Inter-Stand Tension in a Tandem Mill

11 May 2026, 17:45
2m
Foyer (Milan Marriott Hotel)

Foyer

Milan Marriott Hotel

Poster Presentation EEC 1.F Use of artificial intelligence (AI) and machine learning in process optimization Poster session

Speaker

Mehdi Eslamian Koupaie (Atieh Partak Pipe Industry, Islamic Azad University (Isfahan Branch))

Description

This paper presents the design and implementation of a fuzzy logic controller for regulating inter-stand tension in a tandem mill. The developed fuzzy controller utilizes input variables such as tension error, rolling force, exit speed, and speed correction, and applies a rule base derived from operator experience to adjust the gap position and speed references. The controller operates in three distinct modes: normal run, low speed, and sheet mode, employing Mamdani-style inference and the centroid method for defuzzification. Simulation implementation results demonstrate that the fuzzy controller offers greater flexibility and robustness compared to classical PID controllers, effectively handling complex, multi-variable process conditions.

Speaker Company/University Atieh Partak Pipe Industries
Speaker Country Iran

Primary author

Mehdi Eslamian Koupaie (Atieh Partak Pipe Industry, Islamic Azad University (Isfahan Branch))

Co-authors

Mr Alireza Mohammadi Fesharki (Atieh Partak Pipe Industries) Mr Deng Zhengwei (Best Power Intercontrol)