Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell
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 po...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6670039 |
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| author | Lei Lian Peng Ji Tianyu OuYang Fengying Ma Shanwen Xu Chao Gao Jing Liu |
| author_facet | Lei Lian Peng Ji Tianyu OuYang Fengying Ma Shanwen Xu Chao Gao Jing Liu |
| author_sort | Lei Lian |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e0d091fa1bd548ab82bad6bead73a390 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e0d091fa1bd548ab82bad6bead73a3902025-02-03T01:04:13ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66700396670039Fuzzy Integral Sliding Mode Control Based on Microbial Fuel CellLei Lian0Peng Ji1Tianyu OuYang2Fengying Ma3Shanwen Xu4Chao Gao5Jing Liu6School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaSchool of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaSchool of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaSchool of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaShandong Guoshun Construction Group Co., Ltd., Jinan 250300, ChinaShandong Guoshun Construction Group Co., Ltd., Jinan 250300, ChinaShandong Guoshun Construction Group Co., Ltd., Jinan 250300, ChinaMicrobial 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.http://dx.doi.org/10.1155/2021/6670039 |
| spellingShingle | Lei Lian Peng Ji Tianyu OuYang Fengying Ma Shanwen Xu Chao Gao Jing Liu Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell Complexity |
| title | Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell |
| title_full | Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell |
| title_fullStr | Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell |
| title_full_unstemmed | Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell |
| title_short | Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell |
| title_sort | fuzzy integral sliding mode control based on microbial fuel cell |
| url | http://dx.doi.org/10.1155/2021/6670039 |
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