Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell
Lei Lian, Peng Ji, Tianyu OuYang, Fengying Ma +3
AI summary
70% confidenceA fuzzy integral sliding mode control is designed for a single-chamber microbial fuel cell to improve its stable voltage output and reduce chattering.
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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.
Key findings
- The control scheme reduces chattering in the system.
- The fuzzy integral sliding mode control improves the robustness of the system.
- The control scheme ensures a stable output of the system.
Keywords
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- Year
- 2020