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A Method to Include the Available Information of Disturbances in the Modifier Adaptation Methodology for Real-Time Optimization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Naviaa, Daniel Puena, Antonio Quintanillaa, Paulina Briceñob, Luis Bergha, Luis |
| Copyright Year | 2018 |
| Abstract | In this work, we propose the inclusion of the available information of measured or estimated disturbances in the modifier adaptation methodology for real-time optimization (RTO). The idea is to extend the applicability of this technique for processes wherein disturbances affect the quantities involved in the necessary optimality conditions of the process. To do so, we include the estimation of process gradients with respect to both decision variables and disturbances in the methodology. The implementation of this approach was performed in a laboratory-scale flotation column, where the effects of changes in the feed characteristics on the economic performance were included. Additionally, the impact of the availability of disturbances information was analyzed, considering immediate and delayed availability. In the latter case, the Auto Regressive Integrated Moving Average model (ARIMA) was used as an estimator in each RTO iteration. The results show that the inclusion of the available information of disturbances allows tracking the optimum of the process under continuously changing feed conditions. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://lbriceno.mat.utfsm.cl/publis/cche1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
