Nonlinear adaptive stabilizing control of an anaerobic digestion model with unknown kinetics
- 12 August 2011
- journal article
- research article
- Published by Wiley in International Journal of Robust and Nonlinear Control
- Vol. 22 (15) , 1743-1752
Abstract
SUMMARY: In this paper, we consider a nonlinear model of a biological wastewater treatment process, on the basis of two microbial populations and two substrates. The model, described by a four‐dimensional dynamic system, is known to be practically validated and reliable. We propose a feedback control law for asymptotic stabilization of the closed‐loop system towards a previously chosen operating point. A numerical extremum seeking algorithm is applied to stabilize the dynamics towards an equilibrium point with maximal methane flow rate. Computer simulations are reported to illustrate the theoretical results. Copyright © 2011 John Wiley & Sons, Ltd.Keywords
Funding Information
- Bulgarian Science Fund (DO 02-359/2008)
This publication has 17 references indexed in Scilit:
- Nonlinear adaptive control of a model of an uncertain fermentation processInternational Journal of Robust and Nonlinear Control, 2009
- Design and study of a risk management criterion for an unstable anaerobic wastewater treatment processJournal of Process Control, 2008
- Stability analysis of a wastewater treatment plantwith saturated controlWater Science & Technology, 2006
- Nonlinear adaptive control for bioreactors with unknown kineticsAutomatica, 2004
- Adaptive extremum-seeking control of a continuous stirred tank bioreactor with Haldane's KineticsJournal of Process Control, 2004
- Real‐Time Optimization by Extremum‐Seeking Control2003
- Robust regulation of anaerobic digestion processesWater Science & Technology, 2003
- Set-point regulation of an anaerobic digestion process with bounded output feedbackIEEE Transactions on Control Systems Technology, 2003
- Dynamical model development and parameter identification for an anaerobic wastewater treatment processBiotechnology and Bioengineering, 2001
- Optimizing bioreactors by extremum seekingInternational Journal of Adaptive Control and Signal Processing, 1999