An integrated system approach for solving multi-objective scheduling problems and advanced control of an experimental hot-rolling mill

Gaffour, S-A, Mahfouf, M., Panoutsos, G. and Chen, Jun (2011) An integrated system approach for solving multi-objective scheduling problems and advanced control of an experimental hot-rolling mill. In: 18th IFAC World Congress, 28 August - 2 September 2011, Milan, Italy.

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Item Type:Conference or Workshop contribution (Paper)
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Common to most industries, the metal industry is having to 'rethink' its short and long term strategies when it comes to producing metals to customers' specifications. Indeed, metal producers are having to balance the requirements for more consistent and higher quality rolled products with those that are associated with greater efficiencies in energy costs and impact on environment. In the light of these considerations, the performance of key industrial systems such as hot-rolling mills must be carefully analysed in search of further improvements. Criteria for optimising hot-rolling of steel include system efficacy, advanced control strategies, optimal rolling schedule and product quality. This paper is the result of the authors' extensive study on the use of advanced technologies and new integrated approaches in the field of optimal scheduling for the hot-rolling process. The proposed design is based on 1. a multiobjective optimisation-based Population Adaptive Immune Algorithm (PAIA); 2. physically-based models and Symbiotic data-driven modelling for the accurate prediction of mechanical properties of alloy steels; 3. advanced control, including Adaptive Fuzzy Generalised Predictive Control (AFGPC) to guarantee the optimal performance of the mill during the rolling process. Hence, the overarching aim of this research work is to integrate knowledge about both the stock and the rolling process to identify the optimal hot-deformation profiles in order to compute the most suitable rolling schedule and systematically 'chart' the optimal routes for processing and hence achieve 'right-first-time' production of these alloy steel via the desired final microstructure and mechanical properties. © 2011 IFAC.

Additional Information:Conference Code:86642
Keywords:Accurate prediction, Adaptive fuzzy, Advanced control, Advanced control strategy, Advanced technology, Energy cost, Hot rolling process, Immune algorithms, Industrial systems, Integrated approach, Integrated systems, Long-term strategy, Metal industries, Microstructure and mechanical properties, Multi objective, Multi-objective scheduling problems, Optimal performance, Optimal routes, Optimal scheduling, Physically based models, Predictive control, Product quality, Rolled products, Rolling process, Rolling schedules, Symbiotic modelling approach, Algorithms, Alloy steel, Integrated control, Mechanical properties, Multiobjective optimization, Rolling mills, Steel metallurgy, Hot rolling
Subjects:H Engineering > H100 General Engineering
Divisions:College of Science > School of Engineering
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ID Code:10238
Deposited On:16 Aug 2013 10:38

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