In this paper, a Fractional Order Power System controller (FOPSS) is designed, and its performance and robustness are experimentally evaluated by tests in a 10 kVA laboratory scale power system. The FOPSS design methodology is based on the tuning of an additional design variable, namely the fractional order of the controller transfer function. This design variable is tuned aiming to obtain a tradeoff between satisfactory damping of dominant oscillating mode and improved closed-loop system robustness. For controller synthesis, transfer function models were estimated from data collected at selected operating points and subsequently applied for the controller design and for obtaining upper bounds estimates on the operating-point depends on plant uncertainties. The experimental results show that the FOPPS was able to obtain a robust performance for the considered set of the power system operating conditions.
En este artículo se pretende llevar a cabo una evaluación experimental de la utilización de técnicas de asignación de polos en el control Fuzzy aplicadas al flujo de CC en un sistema fotovoltaico autónomo, con el fin de garantizar una condición de estabilidad y un determinado rendimiento para la operación del sistema. Es presentado en la primera etapa del trabajo un modelo matemático que describe adecuadamente el comportamiento dinámico en cuestión fue linealizado el sistema en torno a un punto de operación haciendo uso de las series de Taylor, seguido por el análisis en un ambiente computacional del modelo linealizado del sistema fotovoltaico. Posteriormente, se evaluó de manera experimental el comportamiento dinámico en lazo abierto del sistema fotovoltaico autónomo, observando sus principales variables eléctricas (voltaje y corriente eléctrica). En la segunda etapa del trabajo, se investigó experimentalmente la aplicación de las técnicas de diseño de controladores PI clásico y controladores Fuzzy, con el objetivo de evaluar el comportamiento dinámico del sistema en lazo cerrado y garantizar la estabilidad de este, para pruebas en la variación del voltaje de referencia. Por fin, se presentaron los resultados de la evaluación experimental que demostró un mejor desempeño del controlador Fuzzy en comparación al controlador proyectado por la metodología clásica, cuando utilizada una planta fotovoltaica autónoma
This work aims to design an PI controller applied to the Buck converter to improve photovoltaic power generation in off-grid system facing more isolated area of the northern region. Experimental and simulation tests were performed to perform this study. In addition, the operating principles of photovoltaic modules, the dynamics of the characteristic curves and the modelling of a photovoltaic system aided by the software PSIM and MATLAB were studied and simulated. A Buck converter was then designed to meet the needs of the voltage and current levels to be supplied for the load. After the tests of the Buck converter with the photovoltaic system was designed an PI controller, aiming to correct the input voltage variation errors. And to finish the work were carried out simulation and experimental analyses obtaining the satisfactory behaviour as proposed by the controller design.Resumo: Este trabalho tem o objetivo de projetar um controlador PI aplicado ao conversor buck para melhoria da geração de energia fotovoltaica em sistema off-grid voltado para área mais isolada da região norte. Para a realização desse trabalho foram realizados testes experimentais e de simulação. Além disso, foram estudados e simulados os princípios de funcionamento de módulos fotovoltaicos, a dinâmica das curvas características e a modelagem de um sistema fotovoltaicos auxiliado pelos softwares PSIM e MATLAB. Em seguida foi dimensionado um conversor buck para atender as necessidades dos níveis de tensão e corrente a serem fornecidos para a carga. Após os testes do conversor buck com o sistema fotovoltaico foi projetado um controlador PI, objetivando corrigir os erros de variação de tensão de entrada. E para finalizar o trabalho foram realizadas análises de simulação e de experimentais obtendo o comportamento satisfatório conforme proposto pelo projeto do controlador.
This paper presents a novel direct form to design a digital robust control using RST structure (i.e., name given because of the R, S and T polynomials computed) based on convex optimization such as Chebyshev sphere; this approach was applied to a DC-DC Buck converter. This methodology takes into account parametric uncertainties and a Chebyshev sphere constraint in order to ensure robust performance and stability of the system in the discrete domain. For this purpose, a mathematical model for the DC-DC Buck converter is presented when considering uncertainties in electrical variables, such as load resistance, inductance, capacitance, and source voltage variation, also to obtain the discrete model of the system by using the bilinear transformation. The proposed methodology is compared with two other approaches designed in a discrete domain: the classical pole placement and the robust methodology based on the Kharitonov theorem. Wide-ranging experiments are performed in order to evaluate the behavior of the control methodologies when the system is subject to parametric variations of the load resistance and voltage setpoint variation. The results show that the proposed methodology outperforms the other approaches in 90% of the tests and ensures robust stability and robust performance when the system is subjected to a parametric uncertainties family.
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