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Author  |
Wilton Agila; Ricardo Cajo; Douglas Plaza |
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Title |
Experts Agents in PEM Fuel Cell Control |
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Conference Article |
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Year |
2015 |
Publication |
4ta International Conference on Renewable Energy Research and Applications |
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896 - 900 |
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Keywords |
s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller |
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Abstract |
In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example. |
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IEEE |
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Palermo, Italy |
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English |
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English |
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2015 International Conference on Renewable Energy Research and Applications (ICRERA) |
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Call Number |
cidis @ cidis @ |
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46 |
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Author |
Wilton Agila; Gomer Rubio; L. Miranda; L. Vázquez |
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Title |
Qualitative Model of Control in the Pressure Stabilization of PEM Fuel Cell |
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Conference Article |
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Year |
2018 |
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7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia. |
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1221-1226 |
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This work describes an approximate reasoning
technique to deal with the non-linearity that occurs in the
stabilization of the pressure of anodic and cathodic gases of a
proton exchange membrane fuel cell (PEM). The implementation
of a supervisory element in the stabilization of the pressure of the
PEM cell is described. The fuzzy supervisor is a reference
control, it varies the value of the reference given to the classic
low-level controller, Proportional – Integral – Derivative (PID),
according to the speed of change of the measured pressure and
the change in the error of the pressure. The objective of the fuzzy
supervisor is to achieve a rapid response over time of the variable
pressure, avoiding unwanted overruns with respect to the
reference value. A comparative analysis is detailed with the
classic PID control to evaluate the operation of the “fuzzy
supervisor”, with different flow values and different sizes of
active area of the PEM cell (electric power generated). |
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gtsi @ user @ |
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88 |
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Author |
Wilton Agila; Gomer Rubio; Francisco Vidal; B. Lima |
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Title |
Real time Qualitative Model for estimate Water content in PEM Fuel Cell |
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Conference Article |
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2019 |
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8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania |
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455-459 |
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To maintain optimum performance of the electrical
response of a fuel cell, a real time identification of the
malfunction situations is required. Critical fuel cell states depend,
among others, on the variable demand of electric load and are
directly related to the membrane hydration level. The real time
perception of relevant states in the PEM fuel cell states space, is
still a challenge for the PEM fuel cell control systems. Current
work presents the design and implementation of a methodology
based upon fuzzy decision techniques that allows real time
characterization of the dehydration and flooding states of a PEM
fuel cell. Real time state estimation is accomplished through a
perturbation-perception process on the PEM fuel cell and further
on voltage oscillation analysis. The real time implementation of
the perturbation-perception algorithm to detect PEM fuel cell
critical states is a novelty and a step forwards the control of the
PEM fuel cell to reach and maintain optimal performance. |
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gtsi @ user @ |
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109 |
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Author |
Wilton Agila, Jonathan Aviles, Abel Rubio, Leandro Gonzalez |
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Title |
Approximate Reasoning Techniques in the Control of States of Operation of the PEM Fuel Cell |
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Year |
2023 |
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11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7 |
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979-835031066-5 |
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cidis @ cidis @ |
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208 |
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