Sliding Mode Observer Based Real-Time Optimization of Production Rate in a Bioreactor
(2017) CDC’ 2017 — Location: Melbourne, Australia (12.December.2017)
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- Abstract
- In this paper a sliding mode observer based dynamic optimization of production rate in bioreactor via extremum seeking controller is proposed. The sliding mode observer is constructed to estimate the unmeasured variables such as the substrate concentration and the unknown growth kinetics parameters with the biomass concentration as the only on-line measurement. The observer is coupled with an extremum seeking controller, whose design is based on a sliding mode approach in order to drive the system states to desired set-points that maximize the production rate in a bioreactor. The asymptotic stability of the closed-loop system is shown by the Lyapunov's stability theorem. Validating simulations are proposed to assess the efficiency of the proposed controller.
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Daaou, B., & Dochain, D. (2017). Sliding Mode Observer Based Real-Time Optimization of Production Rate in a Bioreactor. Proc. CDC’ 2017, p. 2108-2113. https://doi.org/10.1109/CDC.2017.8263958