Skip to Main content Skip to Navigation
Conference papers

Robust Nonlinear Model Predictive Control for Regulation of Microalgae Culture in a Continuous Photobioreactor

Abstract : This paper proposes the design of a robust predictive control strategy which guarantees robustness towards parameters mismatch for a simplified macroscopic continuous photobioreactor model, obtained from mass balance based modelling. Firstly, this work is focused on classical robust nonlinear model predictive control law under model parameters uncertainties implying solving min-max optimization problem for setpoint trajectory tracking. Secondly, a new approach is proposed, consisting in reducing the basic min-max problem into a regularized optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. Finally, the developed control law is compared to classical and robust predictive controllers. Its effciency is illustrated through numerical results and robustness against parameter uncertainties is discussed for the worst case model mismatch.
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal-centralesupelec.archives-ouvertes.fr/hal-01257021
Contributor : Sihem Tebbani <>
Submitted on : Thursday, March 12, 2020 - 11:13:11 AM
Last modification on : Wednesday, September 16, 2020 - 9:00:03 PM
Long-term archiving on: : Saturday, June 13, 2020 - 2:10:35 PM

File

hal-01257021.pdf
Files produced by the author(s)

Identifiers

Citation

Seif Eddine Benattia, Sihem Tebbani, Didier Dumur. Robust Nonlinear Model Predictive Control for Regulation of Microalgae Culture in a Continuous Photobioreactor. 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), Jun 2015, saint-petersbourg, Russia. ⟨10.1016/j.ifacol.2015.09.182⟩. ⟨hal-01257021⟩

Share

Metrics

Record views

293

Files downloads

219