A Nonlinear Control Concept for Rolling Mills

Neural Network Control for Rolling Mills

Worldwide, steel and aluminum production and manufacturing is still one of the major basic industries with a huge amount of material and energy consumption. Hence, optimization of the various process control schemes which are involved can lead to signiicant savings. Artiicial Neural Networks are a new information processing technique which provides a novel approach to process control problems a...

A learning fuzzy system for looper control in rolling mills

In this paper, several issues of looper control in rolling mills are discussed and a fuzzy logic control is proposed to address the enumerated issues. The proposed system incorporated fast tuning algorithms for both off-line and online learning of membership functions and singleton values. Also, it is relatively simple to design and implement. The effectiveness of the proposed system is verifie...

Fuzzy Tension Control Scheme for Roughing and Intermediate Rolling Mills

Control of hot metal rolling process plays an important role in assuring high product quality and safe process operation. Although there have been many looper control technologies recently developed for finishing rolling processes, looperless interstand tension control of roughing and intermediate rolling mills remains a hard-to-solve problem. This paper proposes a current comparison based inte...

Improved Drive Control for Multi-Stand Cold Rolling Mills

In multi-stand cold rolling mills an accurate synchronization of the mill drives is necessary for a good product quality and for a safe process operation. During the standard commissioning procedure the control performance of each drive is optimized individually. However, in normal operation mode the performance is then not always optimal due to the coupling of the drives by the strip being rol...

Reeling Mechanism for Wire Rod Rolling Mills