Adaptive Second-Order Sliding Mode Observer-Based Fault Reconstruction for PEM Fuel Cell Air-Feed System
Adaptive Second-Order Sliding Mode Observer-Based Fault Reconstruction for PEM Fuel Cell Air-Feed System
复制标题
DOI：
10.1109/tcst.2014.2361869
复制
发表时间：
2015-05-01
影响因子：
4.8
通讯作者：
Wack, Maxime
中科院分区：
文献类型：
--
作者：
Laghrouche, Salah;Liu, Jianxing;Wack, Maxime
本文提出了一种基于小波变换的质子交换膜燃料电池故障重构方法。该方法推广了一类具有Lipschitz非线性项的非线性不确定系统的结果。提出了一种自适应增益二阶滑模观测器来观测系统状态，其中自适应律估计不确定参数。利用SOSM算法固有的等效输出误差注入特性重构故障信号。通过硬件在环仿真器验证了该观测器的性能。实验结果验证了该方法应用于燃料电池供气系统的可行性和有效性。
This paper presents an observer-based fault reconstruction method for PEM fuel cells. This method extends the results of a class of nonlinear uncertain systems with Lipschitz nonlinearities. An adaptive-gain second-order sliding mode (SOSM) observer is developed for observing the system states, where the adaptive law estimates the uncertain parameters. The inherent equivalent output error injection feature of SOSM algorithm is then used to reconstruct the fault signal. The performance of the proposed observer is validated through a hardware-in-loop emulator. The experimental results illustrate the feasibility and effectiveness of the proposed approach for application to fuel cell air-feed systems.