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作 者:申奥勇 詹跃东 SHEN Aoyong;ZHAN Yuedong(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650504,China)
机构地区:[1]昆明理工大学信息工程与自动化学院,云南昆明650504
出 处:《信息与控制》2021年第4期498-504,512,共8页Information and Control
基 金:国家自然科学基金资助项目(51667012)。
摘 要:质子交换膜燃料电池(proton exchange membrane fuel cell,PEMFC)过氧比是反映空气供应流量与实际氢氧反应之间平衡的指标.针对过氧比控制,提出一种RBF(radial basis function,RBF)神经网络二次型性能指标整定的PID控制算法.根据建立的PEMFC空气系统模型,将系统过氧比误差和控制电压增量之和作为神经网络整定算法的性能指标来调节PID控制器加权系数.通过将二次型性能指标和单一误差指标的仿真结果与传统PID控制器相比,表明该算法下的过氧比超调量相比于单一误差指标RBF-PID控制器下降了10%左右,相比于PID控制器下降了30%左右,同时控制电压也变化的更为迅速且合理.The oxygen excess ratio(OER)of the proton exchange membrane fuel cell(PEMFC)reflects the balance between the air supply flow and the actual hydrogen oxygen chemical reaction.To address the OER control problem,we propose a proportional-integral-derivative(PID)control algorithim whose parameters are turned by a secondary performance index radial basis function(RBF)neural network.To adjust the PID controller parameters,as in the established PEMFC air system model,we use the sum of the system output OER error and the control voltage increment as performance indexes of the neural network coordination algorithm.A comparison of the simulation results of the proposed secondary performance index with those of the single OER error index RBF-PID controller and the traditional PID controller shows that the OER overshoot is reduced by approximately 10%compared with that of the single OER error index RBF-PID controller and by approximately 30%compared with that of the PID controller.The control voltage also changes more quickly and reasonably.
关 键 词:质子交换膜燃料电池 过氧比 二次型性能指标 径向基函数比例—积分—微分
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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