You are here: MIMS > EPrints
MIMS EPrints

2011.30: Multi-Objective Hybrid Intelligent Optimization of Operational Indices for Industrial Processes and Application

2011.30: Tianyou Chai, Jinliang Ding and Hong Wang (2011) Multi-Objective Hybrid Intelligent Optimization of Operational Indices for Industrial Processes and Application. In: 18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
279 Kb

Official URL: https://ifac.papercept.net/conferences/scripts/abstract.pl?ConfID=30&Number=1753

Abstract

To pursuit the plant-wide optimization of multiple units industrial process, a hybrid intelligent optimization approach under dynamic environment is proposed. The objective of optimization is that the production indices defined as the performance related to the final product quality, yield, energy and material consumption fall into their target ranges; whilst the decision variables are operational indices of each unit, which is related to units’ intermediate product quality, efficiency and consumption. In this context, the domain knowledge of process engineers are mimicked and combined with the framework in terms of feedback, prediction and feed-forward schemes so as to realize the required optimization. The effectiveness of the proposed approach has been demonstrated by the practical application results.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Process optimisation, Expert systems in process industry, Advanced process control
Subjects:MSC 2000 > 49 Calculus of variations and optimal control; optimization
MSC 2000 > 93 Systems theory; control
MIMS number:2011.30
Deposited By:Mr Houman Dallali
Deposited On:13 April 2011

Download Statistics: last 4 weeks
Repository Staff Only: edit this item