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吉林化工学院学报, 2025, 42(1): 28-35     https://doi.org/10.16039/j.cnki.cn22-1249.2025.01.005
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基于弹性补偿的微生物燃料电池自适应模糊控制
王嘉祺,付莉*,付秀伟,张建超,张博豪,何艾孺
(吉林化工学院信息与控制工程学院,吉林吉132022)
Adaptive Control of Microbial Fuel Cells based on Resilience Compensation
WANG Jiaqi,FU Li*,FU Xiuwei ,ZHANG Jianchao,ZHANG Bohao,HE Airu
(School of Information and Control Engineering, Jilin Institute of Chemical Technology ,Jilin City 132022,China)
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摘要 针对微生物燃料电池系统启动阶段响应时间较长,且受外界时变干扰而产电过程缓慢的问题,设计了一种基于弹性补偿的自适应模糊控制器。在自适应控制框架下,利用Pade技术推导多项式函数对系统启动阶段时延进行补偿,模糊控制逼近系统模型不确定项和未知干扰,实现系统在不确定环境下的恒压输出,通过构建Lyapunov函数验证了系统的稳定性。仿真结果表明:具有弹性补偿的自适应模糊控制器具有更快速的动态响应和较强的鲁棒性。为微生物燃料电池的应用提供了有效理论基础。
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王嘉祺
付莉
付秀伟
张建超
张博豪
何艾孺
关键词:  Pade技术   弹性补偿   时延   响应特性   鲁棒性    
Abstract: In order to solve the problem that microbial fuel cell system has a long response time at start-upstage and is vulnerable to external time-varying interference in uncertain environment, an adaptive nonlinear controller based on resilience compensation was designed. In this paper, under the framework of adaptive control, Pade technology was used to derive a favorable polynomial function to compensate the delay of the system startup stage , and fuzzy control approaches the uncertainties and unknown disturbances of the system model,so as to realize the resilience compensation of the system under uncertain environment.The stability ofthe system was verified by constructing Lyapunov function.The simulation results showed that the adaptive fuzzy controller with resilience compensation has faster dynamic response and stronger robustness. It provides an effective basis for the application of microbial fuel cells.
Key words:  pade technology    resilience compensation    delay    response characteristics    robustness
               出版日期:  2025-01-25      发布日期:  2025-07-05      整期出版日期:  2025-01-25
ZTFLH:  G 424.1  
引用本文:    
王嘉祺, 付莉, 付秀伟, 张建超, 张博豪, 何艾孺. 基于弹性补偿的微生物燃料电池自适应模糊控制[J]. 吉林化工学院学报, 2025, 42(1): 28-35.
WANG Jiaqi, FU Li, FU Xiuwei , ZHANG Jianchao, ZHANG Bohao, HE Airu. Adaptive Control of Microbial Fuel Cells based on Resilience Compensation. Journal of Jilin Institute of Chemical Technology, 2025, 42(1): 28-35.
链接本文:  
https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2025.01.005  或          https://xuebao.jlict.edu.cn/CN/Y2025/V42/I1/28
[1] 宋艳英. 基于高斯过程回归与硬件优化的可见光室内定位设计 [J]. 吉林化工学院学报, 2021, 38(7): 43-48.
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