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Processes 2016, 4(4), 45; doi:10.3390/pr4040045

A Study of Explorative Moves during Modifier Adaptation with Quadratic Approximation

Biochemical and Chemical Engineering Department, TU Dortmund, Emil-Figge-Str. 70, 44221 Dortmund, Germany
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Academic Editor: Dominique Bonvin
Received: 31 October 2016 / Revised: 21 November 2016 / Accepted: 22 November 2016 / Published: 26 November 2016
(This article belongs to the Special Issue Real-Time Optimization)
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Abstract

Modifier adaptation with quadratic approximation (in short MAWQA) can adapt the operating condition of a process to its economic optimum by combining the use of a theoretical process model and of the collected data during process operation. The efficiency of the MAWQA algorithm can be attributed to a well-designed mechanism which ensures the improvement of the economic performance by taking necessary explorative moves. This paper gives a detailed study of the mechanism of performing explorative moves during modifier adaptation with quadratic approximation. The necessity of the explorative moves is theoretically analyzed. Simulation results for the optimization of a hydroformylation process are used to illustrate the efficiency of the MAWQA algorithm over the finite difference based modifier adaptation algorithm. View Full-Text
Keywords: real-time optimization; modifier adaptation; quadratic approximation real-time optimization; modifier adaptation; quadratic approximation
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Gao, W.; Hernández, R.; Engell, S. A Study of Explorative Moves during Modifier Adaptation with Quadratic Approximation. Processes 2016, 4, 45.

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