Generalized predictive control for microbial desalination cells

As a new energy technology, microbial desalination cell (MDC) can not only purify the wastewater, but also can produce electricity. It has attracted the attention of researchers in the field of control in recent years. In this paper, the generalized predictive control (GPC) algorithm for MDC is proposed to control the output current. A linear regression model of MDC is identified based on the recursive least square method, and the generalized predictive controller is designed for the identification model. Finally, the controller described above is applied to the actual device to verify the validity of the GPC controller. The simulation and application results show that GPC can make the system quickly reach the set value, and optimize the MDC dynamic performance.