Model Reference Adaptive Control for Microbial Fuel Cell (MFC)

Abstract

Microbial Fuel Cell (MFC) is efficient and clean power supply equipment, but serious nonlinearities exist when the MFC runs, so, how to guarantee its output voltage to reach the setting curve quickly and smoothly is a significant topic. To manipulate the feeding flow is an effective way to achieve this goal; especially the satisfactory results can be received through manipulating anode feeding flow. The working point in the MFC running process is linearized in the localized region to obtain the equivalent state space description using the model reference adaptive control algorithm in this study, so the output voltage of MFC can be effectively controlled. Simulation results indicate that the model reference adaptive control algorithm can quickly and smoothly control the voltage output of MFC's voltage tracking reference model. MFC has better performance in rapidity and accuracy after using the algorithm. This is of great significance for MFC to provide stable energy supply for the external load.