Adaptive and Robust-Adaptive Control Schemes for an Anaerobic Bioprocess with Biogas Production

This paper presents the design of adaptive and robust-adaptive control strategies for an anaerobic bioprocess with biogas production. The design schemes are developed under the realistic assumption that both bacterial growth rates and influent flow rates are time-varying and uncertain, but some lower and upper bounds of these uncertainties are known. The proposed control structures are achieved by combining a linearizing control law with a state asymptotic observer or an interval observer, and with a parameter estimator used for on-line estimation of unknown kinetics of the process. Numerical simulations are performed to test the proposed algorithms.