基于氧传感器的燃料电池系统 2-DOF PI 气流控制器

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-08-30 DOI:10.1016/j.jfranklin.2024.107227
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引用次数: 0

摘要

在燃料电池驱动的车辆中,如果负载突然增加后不能迅速补充氧气,就可能出现缺氧现象,从而导致燃料电池膜永久损坏。为了避免这种现象,通常通过观测器估算氧气过剩率(OER),因为它无法直接测量。由于观测器可能会受到模型不匹配的影响,从而导致 OER 估计不准确,因此本研究提出了一种对燃料电池系统进行修改的可行方法,即在其排气管处安装一个氧气流量传感器。然而,该传感器的响应速度较慢,为了弥补传感器响应速度慢的问题,我们设计了一个新颖的两自由度 PI 控制器和一个状态观测器,以便对 OER 进行稳健、准确和快速的估计和控制。
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Oxygen-sensor-based 2-DOF PI air-flow controller of fuel cell system

Oxygen starvation may occur when oxygen is not replenished quickly after a sudden increase of load in fuel-cell-powered vehicles, leading to permanent damage to the fuel cell membrane. To avoid this phenomenon, the oxygen excess ratio (OER) is usually estimated through observers as it cannot be measured directly. Since observers may suffer from model mismatches that lead to inaccurate OER estimation, a possible modification to the fuel cell system is proposed in this work by including an oxygen flow sensor at its exhaust. Yet the response of this sensor is slow, and to compensate for the slow response of the sensor, a novel two-degree-of-freedom PI controller and a state observer are designed to provide a robust, accurate, and quick estimation and control of the OER.

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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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