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PEMFC系统过氧比的自适应高阶滑模控制
引用本文:马冰心,王永富. PEMFC系统过氧比的自适应高阶滑模控制[J]. 控制理论与应用, 2020, 37(2): 253-264
作者姓名:马冰心  王永富
作者单位:东北大学机械工程与自动化学院,辽宁沈阳110819;东北大学机械工程与自动化学院,辽宁沈阳110819
基金项目:国家自然科学基金项目(51775103), 沈阳市科学技术基金(F16226600).
摘    要:调节控制质子交换膜燃料电池(PEMFC)空气供给系统过氧比(OER)在理想范围可有效提高PEMFC系统输出净功率.为此,本文首先结合反馈控制理论将非线性PEMFC空气供给系统转化为标准形,并对系统内部动态进行了稳定性分析.然后基于PEMFC空气供给系统系统扩展的状态空间,并提出一种新型的自适应高阶滑模方法.该控制器不需PEMFC空气供给系统模型和干扰/不确定向的界已知的条件,自适应模糊逻辑系统可在线逼近系统中未建模动态.并且通过在线自适应获得的控制增益可保证系统跟踪误差收敛到原点附近的邻域内.最后,结合Lyapunov理论验证了系统的收敛性与稳定性,通过仿真和硬件在环实验进一步验证了该控制器的自适应性与优越性.

关 键 词:质子交换膜燃料电池  过氧比  高阶滑模控制器  自适应模糊系统  Lyapunov稳定性  硬件在环实验
收稿时间:2018-10-10
修稿时间:2019-04-13

Adaptive high-order sliding mode control for oxygen excess ratio of PEMFC system
MA Bing-xin and WANG Yong-fu. Adaptive high-order sliding mode control for oxygen excess ratio of PEMFC system[J]. Control Theory & Applications, 2020, 37(2): 253-264
Authors:MA Bing-xin and WANG Yong-fu
Affiliation:Northeastern University,Northeastern University
Abstract:The net power of the proton exchange membrane fuel cell(PEMFC)system can be effectively improved by adjusting the oxygen excess ratio(OER)to a desired range.To this end,the dynamic model of the PEMFC air supply system is transformed into a normal form in this paper,and the stability of the internal dynamics is analyzed.Then,based on the extended state space equation,a novel adaptive high–order sliding mode method is proposed,which could not require the knowledge of accurate PEMFC air supply system model and the bounds of the uncertainties/perturbations.Moreover,the control gain obtained from the developed adaptive scheme ensures the tracking errors convergence to a defined neighborhood of zero.Finally,the convergence and stability of the system are verified by Lyapunov theory analysis.Meanwhile,the adaptability and superiority of the proposed controller are indicated by the results gained from numerical simulations and hardware-in-the-loop(HIL)experiments.
Keywords:Proton exchange membrane fuel cell (PEMFC)   Oxygen excess ratio (OER)   High-order sliding mode controller   Adaptive fuzzy logic system   Lyapunov stability   Hardware-in-the-loop experiment (HIL)
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