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GA-based robust LQR controller for interleaved boost DC-DC converter improving fuel cell voltage regulation

机译:基于GA的鲁棒LQR控制器,用于交错式升压DC-DC转换器,改善了燃料电池的电压调节

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Proton Exchange Membrane Fuel Cell (PEMFC) is one of the most promising technologies for sustainable energy, production due to the high power density, low operative temperature and more convenient use for several applications. Nevertheless, the high generated current that characterizes PEMFC requires a specific power conditioning. In addition, specific controller must be designed to fit with system operative points changing associated with the variation of this high current. To deal with this challenge, in this paper, an electrochemical system composed of a Proton Exchange Membrane Fuel Cell (PEMFC) feeding via two phases IBC has been proposed and investigated. For robustness, the used IBC for fuel cell voltage regulation is controlled by linear quadratic regulator (LQR). Then, genetic algorithms technique is applied to optimize the LQR controller parameters giving optimal control coefficients and can if necessary be adjusted according to each working situation change. The model of the entire system is studied using Matlab/Simulink environment. The simulation's comparative standard and robustness results both demonstrate that the proposed GA-based LQR controller outperforms the conventional PI in terms of performance metrics (overshoot reduction: between 58.93% and 97.09%; response time reduction: between 56.40% and 77.00% and ripple reduction: between 84.00% and 94.86%). (C) 2017 Elsevier B.V. All rights reserved.
机译:质子交换膜燃料电池(PEMFC)由于具有高功率密度,较低的工作温度以及在多种应用中使用更加方便而成为可持续能源,生产方面最有希望的技术之一。然而,表征PEMFC的高产生电流需要特定的功率调节。另外,必须设计特定的控制器以适应与该大电流的变化相关的系统工作点变化。为了应对这一挑战,本文提出并研究了一种由质子交换膜燃料电池(PEMFC)经由两相IBC供电的电化学系统。为了坚固,用于燃料电池电压调节的中型散货箱由线性二次调节器(LQR)控制。然后,应用遗传算法技术对LQR控制器参数进行优化,以提供最佳控制系数,并在必要时可以根据每种工作情况的变化进行调整。使用Matlab / Simulink环境研究了整个系统的模型。仿真的比较标准和鲁棒性结果均表明,基于GA的LQR控制器在性能指标方面优于常规PI(过冲减少:58.93%至97.09%;响应时间减少:56.40%至77.00%;纹波减少:介于84.00%和94.86%之间)。 (C)2017 Elsevier B.V.保留所有权利。

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