TY -的盟Pajares Alberto AU -布拉斯科泽维尔AU -埃雷罗,胡安·m . AU - Simarro劳尔PY - 2020 DA - 2020/08/06 TI -多变量控制器设计的冷却系统PEM燃料电池通过考虑近最优解多目标优化方法SP - 8649428六世- 2020 AB -本文设计的多变量控制冷却系统在PEM(质子交换膜燃料电池堆栈)。这个系统是复杂和具有挑战性:变量之间的相互作用,高度非线性动态行为等。这种设计是使用多目标优化方法。很少有先前的作品,使用多目标技术解决这个问题。同时,这项工作,作为一个新鲜事物,考虑,除了最优控制器,在小区近最优控制器nondominated(可能有用的替代品)。在多目标优化问题的方法,设计师必须做出决定,包括设计目标;控制器的参数估计;和系统的仿真的条件和特点。然而,简化优化和决策阶段,设计师并不包括所有所需的场景的多目标问题的定义。然而,这些方面可以分析在决策阶段只对获得的控制器具有更少的计算成本。在这个阶段,潜在的有用的替代方案可以发挥重要作用。 These controllers have significantly different parameters and therefore allow the designer to make a final decision with additional valuable information. Nearly optimal controllers can obtain an improvement in some aspects not included in the multiobjective optimization problem. For example, in this paper, various aspects are analyzed regarding potentially useful solutions, such as (1) the influence of certain parameters of the simulator; (2) the sample time of the controller; (3) the effect of stack degradation; and (4) the robustness. Therefore, this paper highlights the relevance of this in-depth analysis using the methodology proposed in the design of the multivariable control of the cooling system of a PEM fuel cell. This analysis can modify the final choice of the designer. SN - 1076-2787 UR - https://doi.org/10.1155/2020/8649428 DO - 10.1155/2020/8649428 JF - Complexity PB - Hindawi KW - ER -