The generalized predictive control is proposed that based on the control strategy of microbial fuel cell

combined with the characteristics of microbial fuel cells

to investigate the problems of unstable power output in the initial operation stage and the long adjustment time during the operation of an MFC

compared with the MFC system of PID control method joined

joined generalized predictive control of MFC system output is able to avoid the response greatly jitter and fast response

good robustness and dynamic adjustment to ensure that the dynamic output curve fast and accurate tracking system settings. The model identification is carried by the least squares method with forgetting factor to get linear model as a predictive model. Then

generalized predictive control (GPC) can adjust effectively the output response of an MFC under random influent flow at constant external resistance and acetate concentration. The simulation results show that GPC can achieve a good control effect and system robustness adjustment process has also been greatly improved in terms of speed control response. Effective implementation of the optimization of dynamic performance and robust performance of microbial fuel cell system to verify the proposed algorithm is effective and feasible.