利用单调性设计燃料电池系统自适应PI无源控制器

IF 3.9 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Carlo A. Beltrán , Rafael Cisneros , Diego Langarica-Cordoba , Romeo Ortega , Luis H. Díaz-Saldierna
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引用次数: 0

摘要

本文设计了一种控制器来调节燃料电池(FC)系统的输出电压,该系统由质子交换膜FC通过升压转换器提供纯电阻负载。控制器的目的是保持电压调节,而不考虑电阻性负载的不确定性。利用FC极化曲线的单调性,通过PI-无源控制(PI- pbc)方法,证明了非线性系统可以用一个简单的比例积分(PI)作用来控制。结果随后扩展到自适应版本,使其能够解决参数不确定性,包括电感寄生电阻、负载变化和燃料电池极化曲线参数。在参数不确定的情况下,通过调节输出电压,证明了整个系统是稳定的。实验结果验证了该控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system
In this paper, a controller is designed to regulate the output voltage of a fuel-cell (FC) system comprising a proton-exchange membrane FC feeding a purely resistive load through a boost converter. The controller aims to maintain voltage regulation regardless of uncertainties in the resistive load. Leveraging the monotonicity of the FC polarization curve, it is demonstrated that the non-linear system can be controlled with a simple proportional–integral (PI) action through the PI-passivity-based control (PI-PBC) methodology. The result is subsequently extended to an adaptive version, enabling it to address parametric uncertainties, including inductor parasitic resistance, load variations, and fuel cell polarization curve parameters. The overall system is proved to be stable by regulating the output voltage under parametric uncertainty. Experimental results validate the proposed controller.
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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