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Quasi-min-max fuzzy model predictive control of direct methanol fuel cells

机译：直接甲醇燃料电池的准-最小-最大模糊模型预测控制

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摘要

Direct methanol fuel cells (DMFCs) are known as a promising power source in future. In this paper, we consider steering a DMFC plant to a desired operating point while optimizing the transient performance according to a quadratic cost function. Quasi-min-max fuzzy model predictive control (FMPC) with input constraints is proposed for the DMFC. In order to reduce the computational burden for real time implementation, a partial off-line quasi-min-max FMPC is also proposed. In this case, a bank of invariant sets together with the corresponding feedback control laws are obtained by solving some linear matrix inequalities (LMIs) off-line, leaving the online part a bisection search and a much simplified constrained optimization problem. Online computation complexity for both the quasi-min-max FMPC and the partial off-line one is also analyzed. Simulation results are given to show the effectiveness of the proposed controllers.
机译：直接甲醇燃料电池（DMFC）在未来被称为有前途的动力源。在本文中，我们考虑将DMFC设备控制在所需的工作点，同时根据二次成本函数优化瞬态性能。针对DMFC提出了具有输入约束的准最小最大模糊模型预测控制（FMPC）。为了减轻实时实现的计算负担，还提出了一种部分离线的准最小最大FMPC。在这种情况下，通过离线求解一些线性矩阵不等式（LMI），可以获得一堆不变集以及相应的反馈控制律，从而使在线部分成为两等分搜索和一个大大简化的约束优化问题。还分析了准最小最大FMPC和部分离线FMPC的在线计算复杂性。仿真结果表明了所提出控制器的有效性。

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  • 来源
    《Fuzzy sets and systems》 |2014年第1期|39-60|共22页
  • 作者

    Weilin Yang; Gang Feng; Tiejun Zhang;

  • 作者单位

    Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region;

    Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region;

    Department of Mechanical and Materials Engineering, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuzzy control; Model predictive control; Off-line computation; DMFC;

    机译：模糊控制;模型预测控制;离线计算;DMFC;

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