Dynamic Multi-Scenario Approach to Robust and Profitable Online Optimization & Optimal Control of Batch Processes
| Autor: | Flavio Manenti, Francesco Rossi, Gintaras V. Reklaitis, Guido Buzzi-Ferraris |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Flexibility (engineering)
Mathematical optimization robust optimal control Computer science Control (management) Control engineering Computer Science Applications1707 Computer Vision and Pattern Recognition 02 engineering and technology 021001 nanoscience & nanotechnology Optimal control dynamic and optimal scenario mapping robust online optimization Chemical Engineering (all) Combined approach 020401 chemical engineering Online optimization 0204 chemical engineering 0210 nano-technology |
| Popis: | We propose a novel integrated methodology for taking into account model uncertainty, in the form of uncertain parameters, within a previously published real time dynamic optimization and optimal control strategy. The combined approach, designed for batch processes, is scenario-based and consists of two interacting layers: one, which computes the optimal operating conditions and takes control actions in response to disturbances, and the other, which executes the dynamic scenario updating strategy. The approach is applied to a fed-batch reactor to demonstrate its effectiveness and flexibility. |
| Databáze: | OpenAIRE |
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