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.
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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
|Deposited By:||Mr Houman Dallali|
|Deposited On:||13 April 2011|