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Dual-Input Slope Seeking Control of Continuous Micro-Algae Cultures with Experimental Validation
| Content Provider | MDPI |
|---|---|
| Author | Letchindjio, Christian Feudjio Lara, Jesús Zamudio Dewasme, Laurent Escoto, Héctor Hernández Wouwer, Alain Vande |
| Copyright Year | 2021 |
| Description | This paper investigates the application of adaptive slope-seeking strategies to dual-input single output dynamic processes. While the classical objective of extremum seeking control is to drive a process performance index to its optimum, this paper also considers slope seeking, which allows driving the performance index to a desired level (which is thus sub-optimal). Moreover, the consideration of more than one input signal allows minimizing the input energy thanks to the degrees of freedom offered by the additional inputs. The actual process is assumed to be locally approachable by a Hammerstein model, combining a nonlinear static map with a linear dynamic model. The proposed strategy is based on the interplay of three components: (i) a recursive estimation algorithm providing the model parameters and the performance index gradient, (ii) a slope generator using the static map parameter estimates to convert the performance index setpoint into slope setpoints, and (iii) an adaptive controller driving the process to the desired setpoint. The performance of the slope strategy is assessed in simulation in an application example related to lipid productivity optimization in continuous cultures of micro-algae by acting on both the incident light intensity and the dilution rate. It is also validated in experimental studies where biomass production in a continuous photo-bioreactor is targeted. |
| Starting Page | 7451 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app11167451 |
| Journal | Applied Sciences |
| Issue Number | 16 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-08-13 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Industrial Engineering Operations Research and Management Science Extremum Seeking Control Real-time Optimization Optimal Control Data-driven Control Wiener-hammerstein Model Recursive Estimation Biotechnology |
| Content Type | Text |
| Resource Type | Article |
