基于黑寡妇优化算法的微生物燃料电池最大功率点跟踪  

MFC Maximum Power Point Tracking Based on Black Widow Optimization Algorithm

作　　者：樊立萍 杨方林[1,2] FAN Li-ping;YANG Fang-lin(School of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142;Shenyang University of Chemical Technology Laboratory of Coordinated Control and Optimization Technologies for Industrial Environment and Resources in Liaoning Province Colleges,Shenyang 110142)

机构地区：[1]沈阳化工大学信息工程学院,辽宁沈阳110142 [2]沈阳化工大学工业环境-资源协同控制与优化技术辽宁省高校实验室,辽宁沈阳110142

出　　处：《制造业自动化》2025年第1期153-159,共7页Manufacturing Automation

基　　金：国家外专项目(国科发专[2021]49);辽宁省教育厅重点研发项目(LJKZZ20220057)。

摘　　要：针对常规扰动观测法中存在的搜索速度慢、跟踪精度低、稳态振荡大等问题,提出一种基于黑寡妇优化算法改进的模糊变步长扰动观测法,构建微生物燃料电池的最大功率点跟踪控制系统,实现微生物燃料电池的最大功率跟踪控制。黑寡妇优化算法对模糊逻辑控制器的主要参数进行实时寻优,以提高模糊控制器的控制精度和适应能力;模糊控制器根据功率和电压变化情况实时调节扰动观测法的搜索步长,PWM调节器根据模糊控制器的输出指令对Boost变换器的占空比进行调整,使微生物燃料电池的内外电阻达到实时匹配。仿真运行结果显示,基于黑寡妇优化算法的模糊变步长扰动观测法的最大功率点跟踪速度较常规扰动观测法和变步长扰动观测法分别加快了71.7%和64.6%,跟踪误差分别减少了5.9%和5.0%。黑寡妇优化算法改进的模糊扰动观测算法大大加快了响应速度,提高了跟踪精度,减少了稳态振荡,并能有效抑制扰动信号的影响,是实现微生物燃料电池最大功率跟踪的有效方法。Aiming at the problems of slow search speed,low tracking accuracy and large steady-state oscillation in the conventional perturb and observe algorithm,a observation method for fuzzy variable step disturbance is proposed based on black widow optimization algorithm to construct the maximum power point tracking control system of microbial fuel cell and realize the maximum power point tracking control of microbial fuel cell.The black widow optimization algorithm conducts real-time optimization of the main parameters of the fuzzy logic controller to improve the control accuracy and adaptability of the fuzzy controller;The fuzzy controller adjusts the search step of the perturb and observe algorithm in real-time based on the changes in power and voltage,and the PWM regulator adjusts the duty cycle of the Boost converter according to the output instructions of the fuzzy controller,so that the internal and external resistances of the microbial fuel cell achieve real-time matching.The simulation results show that the maximum power point tracking speed of the fuzzy variable step perturb and observe algorithm based on the black widow optimization algorithm is 71.7%faster than that of the conventional perturb and observe algorithm and 64.6%faster than that of the variable step perturb and observe algorithm.Meanwhile,the tracking error is reduced by 5.9%compared with that of the conventional perturb and observe algorithm and 5.0%compared with that of the variable step perturb and observe algorithm.The improved fuzzy perturb and observe algo‐rithm based on black widow optimization algorithm greatly accelerates the tracking speed,improves the tracking accuracy,reduces the steady state oscillation,and can effectively weaken the impact of interference.It is an effec‐tive method to achieve maximum power tracking of microbial fuel cells.

关 键 词：黑寡妇优化算法 最大功率跟踪 模糊控制 扰动观测 微生物燃料电池 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP30[自动化与计算机技术—控制科学与工程]