Gaffour, Sid-ahmed, Mahfouf, Mahdi, Yang, Yong Y., Gama, Miguel, Zhang, Qian (2009) Real-time implementation of new nonlinear neural adaptive generalized predictive speed control for a hot-rolling mill. In: Automation in Mining, Mineral and Metal Processing. 1 (1). pp. 243-248. (doi:10.3182/20091014-3-CL-4011.00044) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50549)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://doi.org/10.3182/20091014-3-CL-4011.00044 |
Abstract
The real-time application of a new design methodology for an efficient implementation of Adaptive Fuzzy Generalized Predictive Control (AFGPC) using a Radial Basis Function (RBF) based neural-fuzzy model for an experimental hot-rolling mill is presented in this paper. An optimization approach with the Gradient Decent Projection technique is proposed to calculate the predictions of the control actions. AFGPC has been implemented on a simulation platform and validated in real time to provide the mill with good speed control and regulation when steel or aluminium hot-rolling experiments are carried out. From such real time experiments and numerical simulations, it can be concluded that the proposed control scheme performs very well, showing good robustness and disturbance rejection under setpoint and load changes. These successful results will form the basis for future experiments to realise 'right first time' production of metals.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.3182/20091014-3-CL-4011.00044 |
Subjects: |
Q Science > Q Science (General) > Q335 Artificial intelligence T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Qian Zhang |
Date Deposited: | 18 Sep 2015 16:07 UTC |
Last Modified: | 16 Nov 2021 10:21 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/50549 (The current URI for this page, for reference purposes) |
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