부산대학교 도서관

Model-based control strategies for microbial fuel cell are able to create a balance between fuel supply, mass, charge and electric charge, performance effi ciency. This paper designs a new adaptive sliding mode control scheme of single chamber single population microbial fuel cell. The adaptive method estimates parametric uncertainty and nonlinear terms while the sliding mode method achieves microbial fuel cell performance targets. The signifi cant advantage of the suggested scheme is its capability to provide robustness against parametric uncertainties and handle systems nonlinearity. The Lyapunov technique has been used to demonstrate robust stability in the face of nonlinearity and uncertainty. Numerical simulations confi rms that the proposed control method is able to meet the desired specifi cation in the presence of varieties of parametric uncertainty.