论文信息 - Modelling and control of tinning line entry section using neural networks

Modelling and control of tinning line entry section using neural networks

The objective of this paper is the development of a mathematical model and the design of the control of the drives of a tinning line entry section, using artificial neural networks. The first part of the paper describes the mathematical models of the individual sections of the processing line: a decoiler and four traction rolls joined together by a steel strip creating a flexible linkage. The drive models have been supplemented by neural controllers in such a way as to satisfy the requirements specified for the individual drives and determined by the sheet metal tinning technology. The paper is concluded with a description of the whole model of the tinning line entry section together with the neural controllers and with an evaluation of the achieved simulation results. (Received in November 2011, accepted in March 2012. This paper was with the authors 1 month for 1 revision.)

Jaroslava Zilkova | Jaroslav Timko | Peter Girovsky

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