Controlling continuous bioreactor via nonlinear feedback: modelling and simulations approach

Abstract

Abstract. The aim of this work is to present a class of nonlinear controller with an exponential-type feedback in order to regulate the sulfate mass concentration via the input flow in a continuous stirred tank bioreactor of an anaerobic sulfate-reducing process. The corresponding kinetic terms in the bioreactor's modeling are modeled by unstructured modeling approach, which was experimentally corroborated. A sketch of proof of the closed-loop stability of the considered system is done under the framework of Lyapunov theory. Numerical experiments are conducted to show the performance of the proposed methodology in comparison with a well-tuned sigmoid controller.

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…1). For the identification, only tests with the detected peak of settling velocity were used (3)(4)(5)(6)(7)(8)(9)(10)(11), as only those experiments represented the zone settling behavior of the activated sludge. Figure 8 presents this dependency for the identified parameters v max = 467 mL/min, n = 0.47 l/g.…”

“…Measurements in biological and environmental systems often require manual laboratory work, hence automation is required for enhanced control [8]. Moreover, biological systems are always nonlinear and require advanced control strategies [9]. A number of methods have been devised over the decades for the control of the sludge recycle, the majority of which are based on the knowledge about settling characteristics of activated sludge [10].…”