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| Author | Byron Lima; Ricardo Cajo; Victor Huilcapi; Wilton Agila | ||||
| Title | Modeling and comparative study of linear and nonlinear controllers for rotary inverted pendulum | Type | Conference Article | ||
| Year | 2017 | Publication | Journal of Physics: Conference Series | Abbreviated Journal | |
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783 | Issue | Pages | ||
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| Abstract | The rotary inverted pendulum (RIP) is a problem difficult to control, several studies have been conducted where different control techniques have been applied. Literature reports that, although problem is nonlinear, classical PID controllers presents appropriate performances when applied to the system. In this paper, a comparative study of the performances of linear and nonlinear PID structures is carried out. The control algorithms are evaluated in the RIP system, using indices of performance and power consumption, which allow the categorization of control strategies according to their performance. This article also presents the modeling system, which has been estimated some of the parameters involved in the RIP system, using computer-aided design tools (CAD) and experimental methods or techniques proposed by several authors attended. The results indicate a better performance of the nonlinear controller with an increase in the robustness and faster response than the linear controller | ||||
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| Language | English | Summary Language | English | Original Title | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 69 | ||
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| Author | Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno | ||||
| Title | Distributed Intelligence in Autonomous PEM Fuel Cell Control. | Type | Journal Article | ||
| Year | 2023 | Publication | Energies 2023 | Abbreviated Journal | |
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Vol. 16 | Issue | Issue 12 | Pages | |
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| ISSN | 19961073 | ISBN | Medium | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 217 | ||
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| Author | Wilton Agila; Victor M. Huilcapi | ||||
| Title | Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM | Type | Conference Article | ||
| Year | 2014 | Publication | Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) | Abbreviated Journal | |
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5 | Issue | Pages | ||
| Keywords | Caracterización de pilas de combustible PEM, estado de inundación y deshidratación de la membrana polimérica, árbol de decisión borroso, control, lógica difusa | ||||
| Abstract | La determinación en tiempo real de los estados críticos de operación de la pila de combustible de membrana intercambio protónico (siglas en ingles, PEM) es uno de los principales retos para los sistemas de control de pilas de combustible PEM. En este trabajo, se presenta el desarrollo e implementación de un método no invasivo de bajo coste basado en técnicas de decisión borrosa que permite estimar los estados críticos de operación de la pila de combustible PEM. La estimación se realiza mediante perturbaciones al estado de operación de la pila y el análisis posterior de la evolución temporal del voltaje generado por la pila. La implementación de esta técnica de estimulación-percepción de estado de la pila de combustible para la detección de estados críticos constituye una novedad y un paso hacia el control autónomo en óptimas condiciones de la operación de las pilas de combustible PEM. | ||||
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| Publisher | Universidad de Cuenca | Place of Publication | Editor | ||
| Language | Español | Summary Language | Español | Original Title | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 31 | ||
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| Author | Wilton Agila; Gomer Rubio; L. Miranda; L. Vázquez | ||||
| Title | Qualitative Model of Control in the Pressure Stabilization of PEM Fuel Cell | Type | Conference Article | ||
| Year | 2018 | Publication | 7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia. | Abbreviated Journal | |
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Issue | Pages | 1221-1226 | ||
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| Abstract | 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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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 88 | ||
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| Author | Gomer Rubio; Wilton Agila | ||||
| Title | Dynamic Modeling of Fuel Cells in a Strategic Context | Type | Conference Article | ||
| Year | 2018 | Publication | 7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia. | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 86 | ||
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| Author | Ricardo Cajo; Wilton Agila | ||||
| Title | Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System | Type | Conference Article | ||
| Year | 2015 | Publication | Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 | Abbreviated Journal | |
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Issue | Pages | 214-219 | ||
| Keywords | Twin Rotor MIMO System (TRMS); Proportional-Integral-Derivative (PID); Linear PID Controller; Nonlinear PID Controller; Nonlinear Observer | ||||
| Abstract | In this paper the linear and nonlinear PID control algorithms are analyzed and for a twin rotor MIMO system (TRMS), whose characteristic is not linear with two degrees of freedom and cross-links. The aim of this work is to stabilize the TRMS, to achieve a particular position and follow a trajectory in the shortest time. Mathematical modeling of helicopter model is simulated using MATLAB / Simulink, the two degrees of freedom are controlled both horizontally and vertically through the proposed controllers. Also nonlinear segmented observers for each degree of freedom are designed in order to measure statements required by the nonlinear controller. Followed, a comparative analysis of both algorithms is presented to evaluate their performance in the real TRMS. | ||||
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| Publisher | IEEE | Place of Publication | Editor | ||
| Language | English | Summary Language | English | Original Title | |
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| Area | Expedition | Conference | 2015 Asia-Pacific Conference on Computer Aided System Engineering | ||
| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 36 | ||
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| Author | Wilton Agila; Ricardo Cajo; Douglas Plaza | ||||
| Title | Experts Agents in PEM Fuel Cell Control | Type | Conference Article | ||
| Year | 2015 | Publication | 4ta International Conference on Renewable Energy Research and Applications | Abbreviated Journal | |
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Issue | Pages | 896 - 900 | ||
| Keywords | s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller | ||||
| 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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| Publisher | IEEE | Place of Publication | Palermo, Italy | Editor | |
| Language | English | Summary Language | English | Original Title | |
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| Area | Expedition | Conference | 2015 International Conference on Renewable Energy Research and Applications (ICRERA) | ||
| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 46 | ||
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| Author | Wilton Agila; Gomer Rubio; Francisco Vidal; B. Lima | ||||
| Title | Real time Qualitative Model for estimate Water content in PEM Fuel Cell | Type | Conference Article | ||
| Year | 2019 | Publication | 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania | Abbreviated Journal | |
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Issue | Pages | 455-459 | ||
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| Abstract | 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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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 109 | ||
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| Author | G.A. Rubio; Wilton Agila | ||||
| Title | Sustainable Energy: A Strategic View of Fuel Cells | Type | Conference Article | ||
| Year | 2019 | Publication | 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania | Abbreviated Journal | |
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Issue | Pages | 239-243 | ||
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| Abstract | Based on the model of the proton exchange fuel cell in a strategic context, this document develops the issue of energy as one of the pillars to achieve the sustainability of our planet, considering the future scenarios up to the year 2060 of the situation energy, hydrogen as a strategic vector and the contribution of the fuel cell in solving the serious problems of environmental pollution and economic inequity that humanity faces; for its application in the energy generation, telecommunications and vehicle manufacturing industries. |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 110 | ||
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| Author | G.A. Rubio; Wilton Agila | ||||
| Title | Transients analysis in Proton Exchange Membrane Fuel Cells: A critical review | Type | Conference Article | ||
| Year | 2019 | Publication | 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania | Abbreviated Journal | |
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Issue | Pages | 249-252 | ||
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| Abstract | When a proton exchange fuel cell operates it produces in addition to electrical energy, heat and water as sub products, which impact on the performance of the cell. This paper analyzes the issue of transients and proposes a model that describes the dynamic operation of the fuel cell. The model considers the transients produced by electrochemical reactions, by flow water and by heat transfer. Two-phase flow transients result in increased the parasitic power losses and thermal transients may result in flooding or dryout of the GDL and membrane, understanding transient behavior is critical for reliable and predictable performance from the cell. |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 111 | ||
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