基于改进粒子群算法的H∞次优控制在PEMFC混合发电系统中的应用

TM712; 为了改善粒子群算法(PSO)的全局搜索能力,通过提高平衡点多样性提出一种改进粒子群算法(MPSO).结合H∞次优控制方法,将加权函数的选取转化成优化问题,并将该方法应用于质子交换膜燃料电池(PEMFC)混合发电系统的过氧比(OER)控制.动态仿真结果证明,在大负载电流变化、参数摄动、环境干扰和量测噪声影响下该方法能够维持系统OER在最优值附近,保证了系统的稳定运行.同时与其他控制方法比较,证明该方法具有较好的抗扰性和鲁棒稳定性....

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Published in电力系统保护与控制 Vol. 38; no. 21; pp. 126 - 131
Main Authors 李奇, 陈维荣, 刘述奎, 程站立, 刘小强
Format Journal Article
LanguageChinese
Published 西南交通大学电气工程学院,四川,成都,610031%成都电业局,四川,成都,610021 2010
Subjects
混合发电系统
质子交换膜燃料电池
改进粒子群算法
过氧比
H∞次优控制
Online AccessGet full text
ISSN1674-3415
DOI10.3969/j.issn.1674-3415.2010.21.026

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Abstract TM712; 为了改善粒子群算法(PSO)的全局搜索能力,通过提高平衡点多样性提出一种改进粒子群算法(MPSO).结合H∞次优控制方法,将加权函数的选取转化成优化问题,并将该方法应用于质子交换膜燃料电池(PEMFC)混合发电系统的过氧比(OER)控制.动态仿真结果证明,在大负载电流变化、参数摄动、环境干扰和量测噪声影响下该方法能够维持系统OER在最优值附近,保证了系统的稳定运行.同时与其他控制方法比较,证明该方法具有较好的抗扰性和鲁棒稳定性.
AbstractList TM712; 为了改善粒子群算法(PSO)的全局搜索能力,通过提高平衡点多样性提出一种改进粒子群算法(MPSO).结合H∞次优控制方法,将加权函数的选取转化成优化问题,并将该方法应用于质子交换膜燃料电池(PEMFC)混合发电系统的过氧比(OER)控制.动态仿真结果证明,在大负载电流变化、参数摄动、环境干扰和量测噪声影响下该方法能够维持系统OER在最优值附近,保证了系统的稳定运行.同时与其他控制方法比较,证明该方法具有较好的抗扰性和鲁棒稳定性.
Author 陈维荣
刘述奎
程站立
刘小强
李奇
AuthorAffiliation 西南交通大学电气工程学院,四川,成都,610031%成都电业局,四川,成都,610021
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CHEN Wei-rong
LIU Shu-kui
LI Qi
LIU Xiao-qiang
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Keywords 混合发电系统
质子交换膜燃料电池
改进粒子群算法
过氧比
H∞次优控制
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Snippet TM712; 为了改善粒子群算法(PSO)的全局搜索能力,通过提高平衡点多样性提出一种改进粒子群算法(MPSO).结合H∞次优控制方法,将加权函数的选取转化成优化问题,并将该方法应用...
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Title 基于改进粒子群算法的H∞次优控制在PEMFC混合发电系统中的应用
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