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Main Authors: Beltran, Carlo A., Cisneros, Rafael, Langarica-Cordoba, Diego, Ortega, Romeo, Diaz-Saldierna, Luis H.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.05350
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author Beltran, Carlo A.
Cisneros, Rafael
Langarica-Cordoba, Diego
Ortega, Romeo
Diaz-Saldierna, Luis H.
author_facet Beltran, Carlo A.
Cisneros, Rafael
Langarica-Cordoba, Diego
Ortega, Romeo
Diaz-Saldierna, Luis H.
contents We present a controller for a power electronic system composed of a fuel cell (FC) connected to a boost converter which feeds a resistive load. The controller aims to regulate the output voltage of the converter regardless of the uncertainty of the load. Leveraging the monotonicity feature of the fuel cell polarization curve we prove that the nonlinear system can be controlled by means of a passivity-based proportional-integral approach. We afterward extend the result to an adaptive version, allowing the controller to deal with parameter uncertainties, such as inductor parasitic resistance, load, and FC polarization curve parameters. This adaptive design is based on an indirect control approach with online parameter identification performed by a ``hybrid'' estimator which combines two techniques: the gradient-descent and immersion-and-invariance algorithms. The overall system is proved to be stable with the output voltage regulated to its reference. Experimental results validate our proposal under two real-life scenarios: pulsating load and output voltage reference changes.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05350
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exploiting Monotonicity to Design an Adaptive PI Passivity-Based Controller for a Fuel-Cell System
Beltran, Carlo A.
Cisneros, Rafael
Langarica-Cordoba, Diego
Ortega, Romeo
Diaz-Saldierna, Luis H.
Systems and Control
We present a controller for a power electronic system composed of a fuel cell (FC) connected to a boost converter which feeds a resistive load. The controller aims to regulate the output voltage of the converter regardless of the uncertainty of the load. Leveraging the monotonicity feature of the fuel cell polarization curve we prove that the nonlinear system can be controlled by means of a passivity-based proportional-integral approach. We afterward extend the result to an adaptive version, allowing the controller to deal with parameter uncertainties, such as inductor parasitic resistance, load, and FC polarization curve parameters. This adaptive design is based on an indirect control approach with online parameter identification performed by a ``hybrid'' estimator which combines two techniques: the gradient-descent and immersion-and-invariance algorithms. The overall system is proved to be stable with the output voltage regulated to its reference. Experimental results validate our proposal under two real-life scenarios: pulsating load and output voltage reference changes.
title Exploiting Monotonicity to Design an Adaptive PI Passivity-Based Controller for a Fuel-Cell System
topic Systems and Control
url https://arxiv.org/abs/2406.05350