Abstract
Due to the extensive application prospects on wastewater treatment and new energy development, microbial fuel cells (MFCs) have gained more and more attention by many scholars all over the world. The bioelectrochemical reaction in MFC system is highly complex, serious nonlinear and time-delay dynamic process, in which the optimal control of electrochemical parameters is still a considerable challenge. A new optimal control scheme for MFC system which combines proportional integral derivative (PID) controller with parameters fuzzy optional algorithm and cerebellar model articulation controller (CMAC) neural network was proposed. The simulation results demonstrate that the proposed control scheme has rapider response, better control effect and stronger anti-interference ability than Fuzzy PID controller by taking constant voltage output of MFC under the different load disturbances as example.
Highlights
Environment and energy are two major problems that influence the sustainable development of human beings [1]
This paper investigates a cerebellar model articulation controller (CMAC)-proportional integral derivative (PID) optimal control method for two-chamber microbial fuel cell by combining CMAC and Fuzzy PID control
In the rest of paper, a brief description of the mathematical model for twochamber microbial fuel cell is given in the section 2, while the CMAC-PID intelligent control optimization algorithm is proposed in the section 3
Summary
Environment and energy are two major problems that influence the sustainable development of human beings [1]. Keywords Microbial fuel cells, electrochemical parameters, fuzzy optional algorithm, CMAC neural network This paper investigates a CMAC-PID optimal control method for two-chamber microbial fuel cell by combining CMAC and Fuzzy PID control.
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