PEMFC系统过氧比的自适应高阶滑模控制

Adaptive high-order sliding mode control for oxygen excess ratio of PEMFC system

中文关键词  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

英文关键词  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)

中文摘要

      调节控制质子交换膜燃料电池(Proton exchange membrane fuel cell, PEMFC)空气供给系统过氧比(Oxygen excess ratio, 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.

英文摘要

      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.