MILL CONTROL SYSTEM AND METHOD FOR CONTROL OF METAL STRIP ROLLING

Mill control system and method for metal strip rolling controlled in response to a sequence of controller scans are provided. A sensor suite is coupled to sense a plurality of parameters regarding the strip rolling. A model responsive to the sensed parameters is configured to estimate per scan at least one matrix based on the sensed parameters and indicative of state conditions of the strip rolling. A controller includes an inner control loop configured to effect a control law to generate a control vector per scan. The inner control loop may be configured to have dynamic characteristics, which remain the same for each scan of the controller. The dynamic characteristics of the inner control loop are effective to determine an online control solution based on the matrix indicative of the state conditions of the strip rolling, without having to compute a Riccati control solution per scan

A scheduling model for production in a hot strip mill

M.Ing.This research dissertation highlights the important role of scheduling in a production environment. The functioning of an integrated iron and steel works is discussed. The importance of production scheduling in this environment is shown, followed by a literature survey of strip mill production scheduling models. Thereafter a model is introduced that aids in the production scheduling of plate via coil in a hot strip mill. Finally the benefits of the scheduling model are shown

Analysis of chattering phenomenon in industrial S6-high rolling mill

Chatter in rolling mills is the undesirable vibration observed in most of the rolling mills operating at high speed and rolling thin strip. In this work the authors discuss some problems relative to the vibrations occurring in a S6-high cold rolling mill. It can result in not good surface finish for some applications and, rare cases, in gauge variations in the rolled strip and it is considered to be the result of interaction between rolling mill structure and rolling-process. Three basic types of chatter can be classified in rolling mills: torsional, third-octave mode, and fifth-octave-mode chatter. S6-high rolling mill is an innovative mode to work the steel: it allows the use of very small work rolls laterally guided by individually adjustable side support rolls, which are supported by two rows of roller bearings mounted in cassettes. It has six rolls able to roll steel strip coming directly from hot rolling mill train. A proposed solution based on empirical observations, vibration analysis and considerations of a model is described with the aim to improve the quality of the product and increasing production

Self learning research on rolling force model of hot strip rolling based on improved adaptive difference

In order to improve the prediction accuracy of the rolling force Self-learning Model and change the phenomenon that the learning coefficient is unstable and the optimization process is not reasonable due to the experience value of the self-learning factor in the traditional self-learning, this paper proposes an improved adaptive differential evolution (IADE) algorithm based on the standard differential evolution algorithm to solve and optimize the problem quickly. The prediction accuracy of rolling force model is improved. The experimental results show that the prediction accuracy of IADE algorithm is lower than that of the traditional model, which can effectively improve the prediction accuracy

Computer applications in steel industry

An overview of the current status of computer applicat-ions in the steel industry has been presented from the point of view of process automation and control. Specific areas covered range from sintering to rolling - including energy and transport management. It has been concluded that development of more intelligent man-machine interface for computer aided analysis, simulation and implementation of control system coupled with advances in software engi-neering, parallel processing, high performance graphics and artificial intelligence based systems have led to cons-iderable advancement in all areas as evidenced by signi-ficant improvement in both the plant productivity and pro-duct quality, the world over. Efforts being made in India in general and at R&D Centre of SAIL in particular have been highlighted. In this context, generation of our own technology and a rational and intelligent selection and adoption of various technical advances has been emphasised

Self learning research on rolling force model of hot strip rolling based on improved adaptive difference

In order to improve the prediction accuracy of the rolling force Self-learning Model and change the phenomenon that the learning coefficient is unstable and the optimization process is not reasonable due to the experience value of the self-learning factor in the traditional self-learning, this paper proposes an improved adaptive differential evolution (IADE) algorithm based on the standard differential evolution algorithm to solve and optimize the problem quickly. The prediction accuracy of rolling force model is improved. The experimental results show that the prediction accuracy of IADE algorithm is lower than that of the traditional model, which can effectively improve the prediction accuracy

Gain Tuning Model of Human Expert for Looper Height Control in Hot Strip Rolling

In hot strip rolling mills, the looper control system is automated. However, the looper's behavior tends to be unstable in threading. Therefore, human expert always intervenes and stabilizes the looper's behavior by tuning PID gains and interposing manipulation variable of looper control system. In this paper, we propose a method based on the recurrent neural network to express PID gains tuning action by human. Furthermore, we propose two methods to update the model by learning. To check the effectiveness of the proposed learning methods, numerical simulation applied to the looper height control is carried out

Improved Performance for Stability of Screw down System by implement Fuzzy Logic

Main problem in hydraulic cold rolling industries is the longitudinal strip thickness .In this random disturbance can increase the error of the system. For reduce this type of error ARM9 based gauge control system is design. In this paper screw down system by use of fuzzy logic. After apply fuzzy logic the screw down system is getting more stable. The output response is touching to the step response. Screw down System is getting stable in 1.8 second. DOI: 10.17762/ijritcc2321-8169.15069