Exploiting Monotonicity to Design an Adaptive PI Passivity-Based Controller for a Fuel-Cell System
<|reference_start|>Exploiting Monotonicity to Design an Adaptive PI Passivity-Based Controller for a Fuel-Cell System: 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.<|reference_end|>
@article{beltran2024exploiting,
    title={Exploiting Monotonicity to Design an Adaptive PI Passivity-Based
  Controller for a Fuel-Cell System},
    author={Carlo A. Beltran, Rafael Cisneros, Diego Langarica-Cordoba, Romeo
  Ortega and Luis H. Diaz-Saldierna},
    journal={arXiv preprint arXiv:2406.05350},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.05350},
    primaryClass={eess.SY cs.SY}
}