Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are t...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | español |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/156400 |
| Acceso en línea: | http://hdl.handle.net/11336/156400 |
| Access Level: | acceso abierto |
| Palabra clave: | BIOREACTORS NONLINEAR SYSTEMS FOURIER SERIES TRAJECTORY OPTIMIZATION https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
| Sumario: | This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are that a few number of parameters is required for optimization and a smooth control profile is obtained. The proposed strategy is evaluated in the case study of recombinant protein production, that is a nonlinear system with two control actions, the substrate and inhibitor feed flow rate. The algorithms are tested through simulations and the results are compared with those published in the bibliography. |
|---|