摘要：AbstractAnaerobic digestion systems are of increasing interest as they are able to produce biogas while treating waste/wastewater. However, their dynamics is complex and not fully understood, which makes their operation and optimization difficult. In this paper, an extremum seeking control algorithm is applied to a three-stage anaerobic digestion system to maximize the outflow rate of methane. In a first stage, the stability analysis of the three-stage model is performed, which provides valuable information on the type of steady states the system possesses, the occurrence of the optimal steady state and good practices to successfully operate the system. In a second stage, an extremum seeking controller, which employs a recursive least-squares algorithm for block-oriented models, is implemented and tested on the anaerobic digestion model. Simulation results show that the proposed controller globally stabilizes the process dynamics at the optimal operating point. Compared to the classical extremum seeking algorithms, the proposed technique allows for a faster convergence, in an imposed time period assigned by the designer.
关键词：KeywordsRecursive Least SquaresReal-Time OptimizationWiener-Hammerstein modelsProcess ControlBiogas Production
