A neuro-fuzzy system for looper tension control in rolling mills

摘要: Abstract A looper tension control system is common to many rolling processes. Conventional controllers for mill actuation systems are based on a model. They therefore cannot deal effectively with unmodeled dynamics and large parameter variations that can lead scrap runs machinery damage. In this paper, problem tackled by designing fuzzy controller possesses different tuning schemes both off-line on-line of elements. It shown the proposed methods outperform conventional techniques. Finally, effects various design options discussed some practical remarks made.