Voltage tracking and regulation of vehicle PEMFC system under low load condition based on fuzzy LQG hybrid strategy

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Ze Liu , Sichuan Xu , Baitao Zhang , Sida Guo
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引用次数: 0

Abstract

In automotive fuel cell systems, high-voltage operation accelerates carbon support and platinum catalyst degradation, significantly compromising system durability. This study develops a dynamic system model with active cathode recirculation to capture the transient response of voltage, and proposes a hybrid control scheme that combines a proportional compensator with a fuzzy LQG controller to effectively enhance voltage regulation and disturbance tracking capabilities. Extensive simulation and hardware-in-the-loop (HiL) confirm the precision and rapid response of the developed controller. Compared to single LQG and fuzzy LQG controllers, the error reduction achieved is 49.3 % and 40.3 %, respectively, and the overall control benefit ratio improves by 19.2 % and 11 %. This method balances dynamic response with control efforts, effectively reducing the risk of high voltage-induced degradation under low-load conditions.
基于模糊LQG混合策略的汽车PEMFC系统低负荷电压跟踪与调节。
在汽车燃料电池系统中,高压操作加速了碳载体和铂催化剂的降解,严重影响了系统的耐用性。本研究建立了一个具有主动阴极再循环的动态系统模型来捕捉电压的瞬态响应,并提出了一种将比例补偿器与模糊LQG控制器相结合的混合控制方案,以有效增强电压调节和干扰跟踪能力。广泛的仿真和硬件在环(HiL)验证了所开发控制器的精度和快速响应。与单一LQG控制器和模糊LQG控制器相比,误差减少率分别为49.3 %和40.3 %,总体控制效益比分别提高19.2 %和11 %。该方法平衡了动态响应和控制努力,有效降低了低负载条件下高压引起的退化风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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