Nonlinear adaptive control of microbial fuel cell with two species in a single chamber

Microbial fuel cells are emerging devices with an ability to harvest electrical energy from wastewater. We develop an integrated control-oriented model with uncertain parameters and a nonlinear adaptive control scheme that can estimate parameters on-line so as to provide robustness against parametric uncertainties with influent substrate concentration as an input variable for a single chamber unit with two bacterial species. In presence of parametric uncertainties, the closed-loop characteristics of the substrate concentration and influent substrate concentration are analyzed through lyapunov stability analysis and validated through appropriate simulation work. The results indicate that the suggested adaptive compensation scheme provides satisfactory performance in presence of parametric uncertainties.