中文摘要：

针对质子交换膜燃料电池（proton exchange membrane fuel cell,PEMFC）的强非线性及强耦合特性,该文提出一种适用于PEMFC系统过氧比（oxygen excess ratio,OER）估计的高阶滑模（high order sliding mode,HOSM）观测器设计方法。该方法采用HOSM算法对输出误差进行调节,使其在有限时间内趋于零,进而通过准确估计PEMFC系统中难于利用传感器直接测量的变量（如,供应管道中空气质量、阴极侧氧气以及氮气质量等）,求解系统OER,为空气闭环系统的精确控制和动态性能的提高奠定了基础。最后,在RT-LAB半实物平台上进行硬件在环的实验验证,对所提出的HOSM观测器与传统的滑模观测器进行对比实验。实验结果表明,所设计的HOSM观测器性能优于传统的滑模观测器,在存在模型参数不确定性和测量噪声的条件下,仍具有快速的收敛特性,且表现出了良好的鲁棒性。

英文摘要：

Because of strongly nonlinear and coupled characteristics for polymer electrolyte membrane fuel cell （PEMFC） system. In this paper, a high order sliding mode （HOSM） observer was proposed for PEMFC system to estimate the oxygen excess ratio （OER）. The high order sliding mode techniques were used to adjust the output errors to steer them to zero in finite time. Through estimating the immeasurable variables that couldn＇t obtained with sensors in PEMFC system （e.g. air mass in the supply manifold, oxygen mass and nitrogen mass in the cathode side, etc.）, as a result, OER could be estimated. Therefore, more accurate control and better dynamic characteristics for the closed-loop air supply system could be realized. Finally, the RT-LAB Hardware-In- Loop （I-IlL） platform was developed to test the observers, and the HOSM observer was compared with the traditional sliding mode observer. The experimental results verify that the HOSM observer is superior to the traditional sliding mode observer. Even though in the condition of model parametric uncertainties and measurement noise, the HOSM observer still shows fast convergence and good robustness.