August 28 - September 2, 2011, Milano, Italy

IFAC WC 2011 Paper Abstract


Paper ThA16.2

Chai, Tianyou (Northeastern Univ), Ding, Jinliang (Northeastern University), Wang, Hong (the University of Manchester)

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

Scheduled for presentation during the Regular Session "Mining and mineral processing" (ThA16), Thursday, September 1, 2011, 10:20−10:40, S. Paolo

18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy

This information is tentative and subject to change. Compiled on August 14, 2020

Keywords Process optimisation, Expert systems in process industry, Advanced process control


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 unitsí 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.



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