Abstract
Microbial fuel cell (MFC) is a renewable clean energy. Microorganisms are used as catalysts to convert the chemical energy of organic matter in the sewage into electrical energy to realize sewage treatment and recover energy at the same time. It has good development prospects. However, the output power of MFC is affected by many factors, and it is difficult to achieve a stable voltage output. For the control-oriented single-chamber MFC, a fuzzy integral sliding mode control is designed. The continuous adjustment of the sliding surface ensures that the system only moves on the sliding surface, which eliminates the arrival stage and improves robustness. For chattering existing in the system, the control scheme is further optimized to obtain fuzzy integral sliding mode control, and the fuzzy module adaptively adjusts the control parameters according to the system state, which effectively reduces the system chattering. Experiments prove that the control scheme reduces chattering while ensuring the stable output of the system.
Highlights
Working Principle and Model of Microbial fuel cell (MFC)E organic matter in the water is decomposed by anaerobic bacteria at the anode to produce hydrogen ions and electrons
E existence of system chattering will cause damage to the system structure and even loss of stability. is paper proposes a fuzzy integral sliding mode control method based on Microbial fuel cell (MFC)
MFCs are divided into single chamber and double chamber. e double-chamber MFC includes an anode cathode proton exchange membrane and an external circuit. e organic matter in the water is decomposed by anaerobic bacteria at the anode to produce hydrogen ions and electrons. e hydrogen ions pass through the proton exchange. e membrane enters the cathode, and the electrons flow to the cathode through the external circuit, where they combine with hydrogen ions to generate water and generate electricity. e single-chamber MFC uses an air cathode, with a proton exchange membrane covering the cathode or no proton exchange membrane
Summary
E organic matter in the water is decomposed by anaerobic bacteria at the anode to produce hydrogen ions and electrons. E microbial fuel cell control model converts the complex internal structure into a set of easy-tocontrollable equations. This article uses a fuzzy integral sliding mode control method for the control-oriented model of a single-chamber membraneless microbial fuel cell to greatly eliminate the influence of disturbance on the output voltage. Qmax is the maximum substrate utilization rate, which is used to characterize the ratio of the maximum value of organic matter decomposed by the power generating anaerobic bacteria to the initial value of the substrate In this model, its value is 3.6/day, and μmax represents the maximum growth rate of microorganisms. S0 − x1. x3 rough analysis, we established a control-oriented voltage state model. e following control will be further developed based on model (8)
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