基于模糊变步长算法的微生物燃料电池最大功率跟踪控制  

Maximum Power Tracking Control of Microbial Fuel Cell Based on Fuzzy Variable Step Size Algorithm

作　　者：万庆阳 WAN Qing-yang(School of Information Engineering,Shenyang University of Chemical Technology)

机构地区：[1]沈阳化工大学信息工程学院

出　　处：《化工自动化及仪表》2024年第1期41-47,共7页Control and Instruments in Chemical Industry

基　　金：辽宁省教育厅重点攻关项目(批准号:LJKZZ20220057)资助的课题;中国-北马其顿政府间科技合作项目(批准号:国科外[2019]22号6-8)资助的课题。

摘　　要：针对微生物燃料电池输出效率低的问题,提出一种变步长算法和模糊控制相结合的最大功率跟踪算法。根据满足最大功率的条件,将Boost变换器和微生物燃料电池构成完整系统,通过调节占空比从而实现最大功率跟踪,同时引入扰动观察法(P&O)和电导增量法(INC)组成最大功率跟踪控制器。常规算法受到步长的影响跟踪效果较差,在此基础上通过改进固定步长为变步长,有效提高了算法的动态性能和稳定性。针对算法产生振荡造成的能量损失,将算法和模糊控制结合在一起构成完整的跟踪系统,有效提高了算法的稳定性,减少了能量损失。仿真结果表明:改进的模糊变步长算法较3种常规算法具有更快的收敛速度、更小的波动幅度和跟踪误差。Considering low output efficiency of microbial fuel cells,a maximum power tracking algorithm which combining variable step size algorithm with fuzzy control was proposed.in which,having the maximum power requirements based and the Boost converter and microbial fuel cell used to constitute a complete system and the duty cycle adjusted to realize the maximum power tracking,including having both perturbation-observation method(P&O)and conductance increment method(INC)introduced to compose the maximum power tracking controller.Regarding poor tracking effect of the conventional algorithm due to the influence of step length,the fixed step length was changed into variable step length to effectively improve the algorithm’s dynamic performance and stability.As for the energy loss caused by the oscillation of the algorithm,having the algorithm and fuzzy control combined to form a complete tracking system was implemented to effectively improve the stability of the algorithm and reduce the energy loss.Simulation results show that,the improved fuzzy variable step size algorithm has faster convergence speed,smaller fluctuation amplitude and tracking error than three conventional algorithms.

关 键 词：模糊控制 变步长 最大功率跟踪 微生物燃料电池 扰动观察法 电导增量法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]