ADAPTIVE BACKSTEPPING FUZZY CONTROL AND GRID-CONNECTION OPTIMIZATION OF PLANT MICROBIAL FUEL CELLS

Fan Liping; Gao Zhenbo

doi:10.19912/j.0254-0096.tynxb.2024-1430

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (12) : 417-425. DOI: 10.19912/j.0254-0096.tynxb.2024-1430

ADAPTIVE BACKSTEPPING FUZZY CONTROL AND GRID-CONNECTION OPTIMIZATION OF PLANT MICROBIAL FUEL CELLS

Fan Liping, Gao Zhenbo

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Abstract

To address the issues of slow tracking speed and local optimum of conventional maximum power point tracking （MPPT） algorithms for single chamber plant microbial fuel cells （SPMFC）, a hybrid algorithm combining adaptive backstepping control and fuzzy control is proposed. This algorithm utilizes the logical reasoning capabilities of a fuzzy controller to overcome the effects of nonlinearity and coupling on tracking speed, and leverages the adaptability and robustness of backstepping control to avoid local optimum. Grid-connected tests are conducted on the SPMFC. The results indicate that the adaptive backstepping-fuzzy control enables the SPMFC to achieve higher output power and faster tracking speed, ensuring accurate tracking of the maximum power point and maintaining grid symmetry after grid connection. This effectively solves the issues of low power generation in SPMFCs, local optimum in MPPT, and asymmetry on the grid side during grid connection.

Key words

backstepping control / fuzzy control / maximum power point tracking / adaptive / plant microbial fuel cells / grid connected operation

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Fan Liping, Gao Zhenbo. ADAPTIVE BACKSTEPPING FUZZY CONTROL AND GRID-CONNECTION OPTIMIZATION OF PLANT MICROBIAL FUEL CELLS[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 417-425 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1430

References

[1] 樊立萍, 童兵. 基于BOOST变换器的MFC最大功率跟踪控制[J]. 太阳能学报, 2021, 42(2): 274-280.
FAN L P, TONG B.Maximum power tracking control of microbial fuel cell based on BOOST convertor[J]. Acta energiae solaris sinica, 2021, 42(2): 274-280.
[2] LI D D, ZHAO Y Q, WEI D, et al.Key issues to consider toward an efficient constructed wetland-microbial fuel cell: the idea and the reality[J]. Environmental science and pollution research, 2024, 31(8): 11559-11575.
[3] FU Y B, CHEN J Q, CHEN Y, et al.Humic acid and iron chelation modified anode improves the electrochemical performance of marine sediment microbial fuel cell[J]. Journal of Ocean University of China, 2022, 21(2): 388-394.
[4] 樊立萍, 杨馀瑛. PVA/OPD改性膜对微生物燃料电池性能的影响[J]. 精细化工, 2023, 40(1): 169-176.
FAN L P, YANG Y Y.Effect of PVA/OPD modified membrane on the performance of microbial fuel cell[J]. Fine chemicals, 2023, 40(1): 169-176.
[5] 樊立萍, 温越霄. CeO₂-β-CD改性阳极微生物燃料电池处理抗生素废水的性能研究[J]. 高校化学工程学报, 2023, 37(2): 312-318.
FAN L P, WEN Y X.Study on a microbial fuel cell with CeO₂-β-CD modified anode for antibiotic wastewater treatment[J]. Journal of chemical engineering of Chinese universities, 2023, 37(2): 312-318.
[6] FAN L P, CHEN X M.Optimization of controller for microbial fuel cell: comparison between genetic algorithm and fuzzy logic[J]. International journal of electrochemical science, 2021, 16(11): 211123.
[7] 李建林, 梁忠豪, 李光辉, 等. 太阳能制氢关键技术研究[J]. 太阳能学报, 2022, 43(3): 2-11.
LI J L, LIANG Z H, LI G H, et al.Analysis of key technologies for solar hydrogen production[J]. Acta energiae solaris sinica, 2022, 43(3): 2-11.
[8] WANG Y, LI K, YANG K H, et al.Adaptive backstepping control for spacecraft rendezvous on elliptical orbits based on transformed variables model[J]. International journal of control, automation and systems, 2018, 16(1): 189-196.
[9] 高超, 姚秀萍, 刘日新, 等. 基于自适应控制的风光制储氢协调运行策略研究[J]. 太阳能学报, 2023, 44(8): 102-109.
GAO C, YAO X P, LIU R X, et al.Research on coordinated operation strategy of wind-solar hydrogen production and storage based on adaptive control[J]. Acta energiae solaris sinica, 2023, 44(8): 102-109.
[10] BEŞKARDEŞ A, HAMEŞ Y, KAYA K. A comprehensive review on fuzzy logic control systems for all, hybrid, and fuel cell electric vehicles[J]. Soft computing, 2024, 28(13): 8183-8221.
[11] KHADHRAOUI A, ZOUAOUI A, SAAD M.Barrier Lyapunov function and adaptive backstepping-based control of a quadrotor UAV[J]. Robotica, 2023, 41(10): 2941-2963.
[12] PAMINTUAN K R S, KATIPUNAN A M C, PALAGANAS P A O, et al. An analysis of the stacking potential and efficiency of plant-microbial fuel cells growing green beans (vigna ungiculata ssp. sesquipedalis)[J]. International journal of renewable energy development, 2020, 9(3): 439-447.
[13] NARAYANA PRASAD P, KALLA S.Plant-microbial fuel cells:a bibliometric analysis[J]. Process biochemistry, 2021, 111: 250-260.
[14] PATEL R, DEB D.Adaptive backstepping control of single chamber microbial fuel cell[C]//2017 17th International Conference on Control, Automation and Systems (ICCAS). Jeju, Korea, 2017: 574-579.
[15] HAI T, AKSOY M, NISHIHARA K.Optimized MPPT model for different environmental conditions to improve efficacy of a photovoltaic system[J]. Soft computing, 2024, 28(3): 2161-2179.
[16] 帅逸轩, 赵培轩, 刘慧敏, 等. 基于多功率耦合的风光互补制氢系统容量配置优化方法[J]. 太阳能学报, 2022, 43(11): 474-481.
SHUAI Y X, ZHAO P X, LIU H M, et al.Optimization of battery capacity for wind-solar complementary hydrogen production system under multi-power conditions[J]. Acta energiae solaris sinica, 2022, 43(11): 474-481.
[17] 闫桦, 窦银科, 王进, 等. 基于模糊自抗扰的PEMFC输出电压控制研究[J]. 现代电子技术, 2024, 47(14): 46-52.
YAN H, DOU Y K, WANG J, et al.Research on PEMFC output voltage control based on fuzzy active disturbance rejection[J]. Modern electronics technique, 2024, 47(14): 46-52.
[18] DHARA S, SHRIVASTAV A K, SADHU P K.Power quality enhancement of microgrid using fuzzy logic controlled inverter and SFCL[J]. Microsystem technologies, 2024, 30(6): 687-710.
[19] MOHAMED L, AICHA G.Implementation of fuzzy logic MPPT based on Arduino in small scale PV pumping system[J]. International journal of power electronics and drive systems (IJPEDS), 2024, 15(1): 192.
[20] 樊立萍, 陈其鹏. 基于萤火虫优化模糊P&O的微生物燃料电池最大功率点跟踪[J]. 太阳能学报, 2024, 45(4): 373-381.
FAN L P, CHEN Q P.Maximum power point tracking of microbial fuel cell based on firefly optimization fuzzy P & O[J]. Acta energiae solaris sinica, 2024, 45(4): 373-381.