PEMFC空气供给系统的二型自适应模糊建模与过氧比控制

Type-2 Adaptive Fuzzy Modeling and Oxygen Excess Ratio Control for PEMFC Air Supply System

质子交换膜燃料电池(Proton exchange membrane fuel cell, PEMFC)空气供给系统存在外部扰动和参数不确定等动态特性,难以实现精准建模和控制.本文结合精确线性化和二型模糊逻辑系统,提出一种自适应控制器实现PEMFC空气供给系统的建模与过氧比控制.该控制器不需要PEMFC空气供给系统模型结构和参数完全已知的条件,而是通过二型模糊逻辑系统在线逼近PEMFC空气供给系统中的未建模动态并从Lyapunov函数中导出自适应参数,从而保证系统收敛性与稳定性.通过稳定性分析证明了该控制器作用下系统跟踪误差的有界性,仿真实验进一步验证了该控制器的有效性与实用性.

Proton exchange membrane fuel cell(PEMFC) air supply system has the characteristics of external disturbances and uncertain parameters, which make it difficult to achieve accurate modeling and stability control. In this paper, an adaptive controller is proposed to control the oxygen excess ratio of PEMFC air supply system by using the type-2 fuzzy logic systems. The controller does not need the known conditions of PEMFC system model but approximates unmodeled dynamics in the system by the adaptive fuzzy system whose the parameter adjustment is derived based on the Lyapunov theory. The stability analysis shows that the system is stable under the control of the controller. Simulation results demonstrate the usefulness and effectiveness of our proposed control strategy.