Augmenter la durée de vie d'une pile, voire s'en passer est aujourd'hui devenu une obligation pour les microsystèmes. En effet, à cette échelle, le remplacement des piles et leur rejet dans l'environnement sont problématiques. La voie préconisée pour répondre à cet enjeu est d'utiliser des sources d'énergie renouvelables (solaire, thermique et mécanique). Pour cela, nous proposons de développer une plateforme de récupération d'énergie multi-sources/multi-charges (MANAGY) capable de s'adapter à son environnement pour en extraire le maximum d'énergie et répondre à des applications diverses. L'architecture est constituée de chemins directs et de chemins indirects où l'énergie provenant des sources est d'abord transférée dans une unité de stockage avant d'être réutilisée par les charges du microsystème. L'utilisation de cette nouvelle architecture permet d'optimiser le transfert d'énergie entre sources et charges et améliore le rendement du système de 33%. Avant de développer une architecture multi-sources, nous avons cherché à améliorer le rendement de la source photovoltaïque (PV) qui, au vu de l'état de l'art, a la densité de puissance la plus élevée. La recherche du rendement maximum de la source PV revient à la recherche du point de puissance maximum (MPPT). Il existe pour chaque condition d'irradiance, de température, et d'énergie extraites un couple tension-courant permettant à la source de fournir un maximum de puissance (MPP). Grâce à l'utilisation de deux chemins de puissance, nous arrivons simultanément à créer une boucle de régulation faible puissance agissant sur le rapport cyclique du système de gestion d'énergie (MPPT) et une boucle de régulation de la tension de sortie agissant sur le transfert de l'énergie. La modélisation du système nous a permis de spécifier ses performances. Pour atteindre les performances requises, des architectures innovantes ont été réalisées qui ont fait l'objet de trois brevets. De plus, des blocs ne sont activés qu'aux instants de changement d'état du système et sont conçus, quand cela a été possible, avec des transistors fonctionnant en mode faible inversion. Toutes ces optimisations permettent au système de fonctionner sur une large plage de variation de l'éclairement (de conditions intérieures supérieures à 500 lux à extérieures) avec un rendement proche de 90%. / Enhancing the life time of battery or being able to work without it is today mandatory for microsystems. Most of systems are nowadays limited by the capacity of the embedded battery. Moreover the replacement and waste of baterries is no more possible at this scale. One way to achieve longer life time is the use of renewable energy sources (solar, thermal, or kinetic). This work proposes to develop a new energy harvesting platform with numerous sources and loads (MANAGY) able to adapt itself to the surrounding environment in order to extract the maximum of energy while answering to various of applications. The architecture is composed of directs and indirects power paths where the extracted energy coming from renewable sources is firstly transferred to a storage unit before being used by loads. This novel architecture makes it possible to optimize the energy transfer between sources and loads and to achieve a 33% gain. Before developing this architecture with numerous sources, we have searched to enhance the efficiency of the photovoltaic source which has the best power density at the state of the art. Looking for improving the efficiency of the PV source is the same as tracking the maximum power point (MPPT). There is for each irradiance, temperature and quantity of energy extracted a couple of voltage and current enabling the PV source to deliver the maximum of power (MPP). Thanks to the two power paths used we are able to create a low power feedback loop adjusting the duty cycle from the power management unit (MPPT) while having a second feedback loop optimizing the power transfer and regulating the output voltage. Thanks to a high level model we have specified the system performances. To achieve the performances required we have realized novel architectures protected through three patents. Moreover, blocs are only activated when the system changes its state and furthermore there are designs, when achievable, with transistors working in weak inversion. All these optimizations make the system working for a large range of irradiance (from inside conditions higher than 500 lux to outdoor conditions) with an efficiency close to 90%.

Made available in DSpace on 2016-08-31T13:33:41Z (GMT). No. of bitstreams: 1 SamyaLMC_DISSERT.pdf: 2613687 bytes, checksum: 971b2c2364adeaf29f31a7eed101a113 (MD5) Previous issue date: 2014-11-20 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The use of solar panels to generate electricity is something that is becoming more common comes in both large systems, as in autonomous systems with low power consumption. So that there is maximum utilization of energy generated, the panel must always operate at maximum power point (MPP). Based on this, this paper aim to perform a comparative study of two techniques for tracking the maximum power point MPPT (Maximum Power Point Tracking): the traditional method Perturbation and Observation (P&O) and the method by Fuzzy Logic. The photovoltaic system was modeled in ATLAB/Simulink® to represent the VI characteristic curve of the PV module, which is based on data available in the catalogs of commercial photovoltaic panels. From the results of the simulation study comparing control techniques, which showed that the fuzzy controller using the best performance and efficiency in keeping the MPP than the control technique based on the P&O was done / A utilização de painéis solares fotovoltaicos na geração de energia elétrica é algo que está se tornando cada vem mais comum, tanto em sistemas de grande porte, quanto em sistemas autônomos de baixo consumo de energia. Neste sentido, objetivando o máximo aproveitamento da energia gerada, o painel deve operar sempre no ponto de máxima potência(MPP). O presente trabalho têm como objetivo realizar um estudo comparativo entre duas técnicas de rastreamento do ponto de máxima potência MPPT (Maximum Power Point Tracking): o método tradicional Perturbação e Observação (P&O) e o método através da Lógica Fuzzy. O sistema fotovoltaico foi modelado no MATLAB/Simulink® de forma a representar a curva característica V-I do módulo PV, o qual baseia-se nos dados disponíveis nos catálogos de painéis fotovoltaicos comerciais. A partir dos resultados da simulação foi feito o estudo comparativo entre as técnicas de controle, que permitiram concluir que o controlador utilizando Fuzzy apresentou melhor desempenho e eficiência em se manter no MPP do que o controle baseado na técnica P&O

Au Vietnam, plus d’un demi-million d’habitations n’ont pas d’accès à l’électricité. Elles se situent principalement dans des régions montagneuses ou sur des îles. Cependant, c’est un pays qui possède un grand potentiel en énergies renouvelables. Dans ce contexte, l’alimentation en électricité pour les sites isolés est une solution prometteuse en termes économique et environnemental. L’énergie solaire est la plus adaptée à l’alimentation en électricité des villages en raison d’un ensoleillement important et d’une maintenance relativement facile. Dans les systèmes de conversion d’énergie utilisant des sources d’énergies renouvelables, on utilise généralement des convertisseurs statiques simples. En effet, si l’on prend un système photovoltaïque, la poursuite du point de puissance maximale (MPPT) se fait à l’aide d’un convertisseur « boost » ou « buck-boost ». Ainsi, en cas de défaillance, le système est mis hors service. L’objectif de cette thèse est d’apporter des améliorations au niveau d’un système photovoltaïque autonome pouvant être utilisé dans un site isolé. Ainsi nous avons développé un algorithme de recherche du point de puissance maximale (MPPT) utilisant des convertisseurs DC-DC à trois niveaux (CBTN) permettant d’extraire le maximum de puissance d’un générateur photovoltaïque quelles que soient les variations climatiques (température, ensoleillement) ou de la charge. L’architecture à base de panneaux solaires associé à un système de stockage a nécessité la mise en place d’un superviseur flou afin de maîtriser la gestion des flux. Enfin, nous avons proposé une méthode de détection de défauts afin de gérer efficacement les cas de défaillance d’un élément du convertisseur multiniveaux. En effet, en cas de défauts, on doit pouvoir passer en mode dégradé pour pouvoir assurer un service proche du comportement nominal ou au moins minimal en attendant une maintenance corrective. / In Vietnam, more than half a million people do not have access to electricity. They are mainly in mountainous regions or on islands. However, this country has great potential for renewable energy. In this context, these sources of energy can be regarded as promising solutions both economically and environmentally for supplying electrical power. Solar energy is the most suitable to supply villages with electricity because of the plentiful solar radiation and relatively easy maintenance of the structures. In energy conversion systems using renewable energy sources, simple static converters are generally used. Indeed, if we explore a photovoltaic system, the maximum power point tracking (MPPT) is done using a boost or buck-boost converter. Thus, in case of failure, the system is simply switched off. The aim of this thesis is to make improvements to an autonomous photovoltaic system that can be used in an isolated site. Therefore, an MPPT algorithm using three-level DC-DC converters is developed to extract the maximum power of a photovoltaic generator, whatever the climatic variations (temperature, sunlight) or charge. The system’s architecture is based on solar panels associated with a storage system, which required the development of a fuzzy supervisor to control the flow management. Finally, we propose a fault detection method to efficiently manage the failure of a multi-level converter element. Indeed, if there is a fault, we must go into a degraded mode to provide a service close to normal or at least minimal functioning, pending maintenance.

Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée / This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed

Cette thèse traite la commande et l'optimisation d'une installation photovoltaïquepour un site isolé. Ainsi, nous avons proposé un algorithme par logique flouepermettant la poursuite du point de puissance maximal afin de remédier auxinconvénients des méthodes classiques. Ensuite, nous nous sommes intéressés àl'optimisation de la structure de l'installation. En effet, dans les installationsclassiques, dans le cas de défaillance d'un panneaux, tout le bloc série devientinutilisable, ce qui réduit considérablement les capacités de production del'installation. Pour résoudre ce problème, nous avons proposé un superviseur permettant la reconfiguration automatique de l'installation de telle sorte que seul lepanneaux défaillant est mis hors connexion. Par ailleurs, pour gérer le flux depuissance et pour répondre à la demande de l'utilisateur, nous avons développé un superviseur par logique floue. Ainsi, le surplus de production est stocké systématiquement dans la batterie pour l'utiliser ensuite en cas où la demandedépasse la production. De plus, la structure proposée permet de ne solliciter la batterie en cas de besoin de ce qui permet de prolonger considérablement sa duréede vie. / This thesis addresses the control and optimization of a stand-alone photovoltaicsystem. Thus, we proposed a fuzzy logic algorithm for tracking the maximum powerpoint to overcome the disadvantages of classical methods. Then we focused onoptimizing the structure of the installation. Indeed, in conventional systems, in thecase of failure of a panel, the whole serie block becomes unusable, greatly reducingthe production capacity. To resolve this problem, we proposed a supervisor for theautomatic reconfiguration of the installation so that only the failed panels is takenoffline. Furthermore, to manage the power flow and to meet user demand, wedeveloped a fuzzy supervisor. Thus, the surplus production is systematically storedin the battery for later use in cases where demand exceeds production. In addition,the proposed structure can not draining the battery in case of need thereby greatlyextend its lifetime.

Orientador: Carlos Alberto Canesin / Resumo: Considerando o atual crescimento dos sistemas baseados em fontes de energia renováveis para a Geração Distribuída (GD), novas estruturas de potência estão sendo desenvolvidas para os sistemas de conversão. O presente estudo propõe a utilização do Inversor Integrado Cuk para o processamento da energia solar fotovoltaica proveniente de um conjunto de módulos fotovoltaicos. Este inversor é o resultado da integração de um conversor Cuk e um inversor de ponte completa, sendo capaz de realizar as funções de elevação e redução de tensão, e a função de converter a corrente continua em alternada, possuindo um grande potencial para a obtenção de uma estrutura de potência de reduzido volume e alto rendimento, garantindo uma baixa distorção harmônica da corrente injetada à rede. Neste trabalho de dissertação são apresentadas as análises quantitativa e qualitativa do inversor com o objetivo de mostrar em detalhes o seu funcionamento e apresentar as principais equações elétricas dos componentes reativos e semicondutores. Além disso, para a obtenção do modelo dinâmico em pequeno sinal do inversor, o método de média do circuito e modelagem média de interruptores é utilizado a fim de projetar os controladores do modo de controle adotado, o qual consiste em dois laços de corrente retroalimentados. Por outro lado, uma comparação das diferentes configurações de módulos fotovoltaicos conectados ao inversor é realizada através dos dados de simulação, a fim de obter a configuração com as melhores c... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Considering the current growth of the renewable energy sources-based systems for Distributed Generation (DG), new power structures are being developed for the conversion systems. The present study proposes the use of the Cuk Integrated Inverter for the processing of photovoltaic solar energy from a set of photovoltaic modules. This inverter is the result of the integration of a Cuk converter and a Full Bridge inverter, being able to perform the functions of raise and reduce voltage, and the function of converting the direct current (DC) to alternating current (AC), possessing a great potential for obtaining a power structure of reduced volume and high performance, guaranteeing a low harmonic distortion of the current injected into the electric grid. In this research work, the quantitative and qualitative analysis of the inverter are presented in order to show in detail its operation and present the main electrical equations of the reactive and semiconductor components. In addition, to obtain the dynamic model in small signal of the inverter, the method of Circuit Averaging and Averaged Switch Modeling is used in order to design the controllers of the adopted control mode, which consists of two feedback loops of current. On the other hand, a comparison of the different configurations of photovoltaic modules connected to the inverter is performed by simulation data, in order to obtain the configuration with the best performance characteristics of the system. The maximum power p... (Complete abstract click electronic access below) / Mestre

L'autonomie énergétique des systèmes embarqués est un frein majeur au développement de l'intelligence ambiante et de l'internet des objets. Cette thèse présente un système générique de gestion de micro-puissance capable d'alimenter un nœud de réseau de capteurs autonomes et communicant sans fil (WSN). L'architecture proposée est basée sur un convertisseur DC/DC abaisseur simple inductance multi-entrées multi-sorties (SI MIMO) associé à un circuit de recherche du point de puissance maximal (MPPT) très basse consommation. Nous montrons dans ce travail que cette famille de convertisseurs permet d'hybrider efficacement plusieurs sources et plusieurs éléments de stockage pour fournir les tensions régulées nécessaires à l'alimentation électrique d'un nœud de WSN. Pour ce faire, et dans le cadre du projet PCB², nous avons réalisé un convertisseur SI MIMO à base de composants discrets ultra basse consommation sur carte PCB. Ce convertisseur interface un récupérateur piézoélectrique, une cellule photovoltaïque et une batterie fine au LIPON (Lithium Phosphorous Oxynitride) enterrée dans le circuit imprimé, pour alimenter un capteur de température enregistreur. Le développement de modèles pour chacun de ces dispositifs et leur implémentation dans un environnement de simulation système en VHDL-AMS a permis, dans un premier temps, de valider le concept présenté, puis, a guidé le travail de conception et d'optimisation du circuit du démonstrateur. Le rendement ainsi obtenu avoisine 55% dans les conditions normales d'utilisation et tend vers 70% lorsque le niveau de puissance qui transite dans le convertisseur dépasse 500 µW. / Energy supply of embedded systems is limiting the development of the internet of things and more generally of the ambient intelligence paradigm. This thesis presents a generic micro-power management system able supply a wireless sensor node. The proposed architecture is based on a Single Inductor Multi Inputs Multi Outputs (SI MIMO) DC/DC converter coupled to an ultra low power Maximum Power Point Tracking circuit. In this work, we show that this family of converter allows to efficiently hybridizing several power sources with power storage elements in order to provide different DC regulated voltages that can supply a sensor node. In this end, and in the framework of the PCB² project, we realized a SI MIMO converter made of discrete components on a printed circuit board. This converter interfaces a piezoelectric generator, a photovoltaic cell, and a thin-film LIPON Lithium Phosphorous Oxynitride) battery buried in the PCB, in order to power a temperature data-logger. The concept validation and the design of the demonstrator have been done thanks to devices modeling and system simulations in a VHD-AMS environment. The efficiency of the circuit is about 55% in standard usage conditions and reaches 70% when the power passing through the converter exceeds 500µW.

Neste trabalho apresenta-se o modelo de um controlador baseado em Lógica Fuzzy para um sistema de energia baseado em fonte renovável solar fotovoltaica (photovoltaic - PV) multi-string em operação isolada, para o aproveitamento da máxima potência desta fonte. O sistema é composto por painéis solares, conversor CC-CC tipo elevador de tensão (boost), armazenamento por banco de baterias, inversor trifásico e carga trifásica variável. O sistema fotovoltaico foi modelado no MATLAB/Simulink de forma a representar a curva característica V-I do módulo PV, e que é baseado nos dados disponíveis em data-sheets de painéis fotovoltaicos comerciais. Outros estudos de natureza elétrica tais como o cálculo dos valores eficazes das correntes no conversor CC-CC, para avaliação das perdas, indispensáveis para o dimensionamento de componentes eletrônicos, foram realizados. O método tradicional Perturb and Observe de rastreamento do ponto de máxima potência (Maximum Power Point Tracking MPPT) de painéis foi testado e comparado com métodos que usam a Lógica Fuzzy. Devido ao seu desempenho, foi adotado o método Fuzzy que realiza o MPPT por inferência do ciclo de trabalho de um modulador por largura de pulso (Pulse Width Modulation - PWM) através da variação da potência pela variação da corrente do painel solar. O modelo Fuzzy adotado neste trabalho foi testado com sucesso. Os resultados mostraram que ele pode ser robusto e atende à aplicação proposta. Segundo alguns testes realizados, este controlador pode realizar o MPPT de um sistema PV na configuração multi-string onde alguns arranjos fotovoltaicos são usados. Inclusive, este controle pode ser facilmente adaptado para realizar o MPPT de outras fontes de energia baseados no mesmo princípio de controle, como é o caso do aerogerador. / This work presents the model of a Fuzzy Logic controller for a renewable energy system based on multi-string solar photovoltaic (PV) in stand-alone operation, to extract the maximum energy of this power source. The system consists of PV modules, DC-DC converter (Boost), a battery set, three-phase inverter and three-phase variable load. The photovoltaic system was modeled in MATLAB / Simulink in order to represent the V-I characteristic of the PV module, and which is based on the data provided by the manufacturer data-sheet. Other studies, such as the calculation of the RMS currents of the DC-DC converter components for evaluation of the losses, which are essential for the system design were accomplished. The conventional Perturb and Observe method for the Maximum Power Point Tracking (MPPT) of PV modules was tested and compared with methods that use Fuzzy Logic control. Due to its performance, it was adopted the Fuzzy method that performs the MPPT by inference of duty cycle of a Pulse Width Modulation (PWM) through the variation of PV power divided by the variation of the PV current. The Fuzzy model considered in this work was successfully tested. The results showed that it can be robust and suitable to the proposed application. According to some accomplished tests, the controller can perform the MPPT of a multi-string configuration of the solar PV system, in which several PV arrays are used. Moreover, it can also be easily adapted to perform the MPPT of other energy power sources based on the same control principle, as it is in the case of aerogenerators.

Le projet SACER vise à répondre aux demandes d’Airbus qui ont besoin de disposer de données décrivant le comportement d’un avion ou d’un satellite avant commercialisation ou lancement. Pour mieux répondre à cette demande, un réseau de capteurs sans fil remplacerait les équipements de test filaires existants. Le but est d’apporter des avantages tels qu’une réduction de poids, de coût et de connectique. Pour notre part, nous n’avons travaillé que sur l’application aéronautique.Pour alimenter les capteurs autonomes sans fil embarqués, dans le cadre de cette thèse, il faut concevoir une architecture de récupération d’énergie, un système de stockage de l’énergie ainsi que un circuit de gestion de ces énergies. La principale contrainte pour le système est qu’il doit pouvoir fonctionner de -50C à 100°C, tout en délivrant une puissance de sortie de 3 watts. De plus, l’épaisseur du système doit être inférieure à 3,2 mm.Pour notre travail, nous avons cherché, dans un premier temps, la meilleure solution possible sur le choix du type de cellules solaires. Le résultat sur les tests des cellules à différentes températures et irradiations dans les conditions de notre application est présenté. Dans un second temps, nous avons testé plusieurs types de systèmes de stockage d’énergie aux températures extrêmes. Enfin, la conception de l’architecture pour la gestion de l’énergie (vue d’ensemble des panneaux photovoltaïques, d’un circuit MPPT, des super condensateurs, et d’un régulateur) est présentée / Flight tests of a commercial aircraft consist in gathering data during flight to validate aircraft design. However they are very expensive for various reasons. One of them is that most of the sensors implemented to collect data are wired. As an example, for the sole system that monitors the vibrations onboard a large (more than 100 seats) aircraft, more than 100 sensors may be deployed. Such networks are complex to implement, mainly because of the required wiring. A wireless solution is therefore of great interest; however, such a cable-less implementation implies both wireless transmission of data together with energy autonomy.The purpose of this work is therefore to describe a design of a power generation system, focusing on photovoltaic, together with the associated management strategies for an autonomous wireless sensor network deployed for large aircraft in-flight tests. This work is a part of SACER project. The main requirements are related to the thickness of the system (less than 3,2mm in order not to disturb the aerodynamic air flow) and the output power (3 W per sensor node in order to power the sensor, data processing and transmission system). In addition, the system has to properly work at extremely high and low temperature (-50 to 100°C). Our system consists of three primary components to consider: Energy Harvesting system, Energy storage device and Energy management system.In this work, we firstly present the comparison of the performance of different photovoltaic technologies at different temperatures concerning their availability and achievable power density in aircraft applications. Secondly, we will investigate the possibility of using batteries and supercapacitor. Finally the power management system, composed by a photovoltaic panel, a power conditioning (MPPT function), supercapacitors and a DC/DC regulator, is presented

Neste trabalho apresenta-se o modelo de um controlador baseado em Lógica Fuzzy para um sistema de energia baseado em fonte renovável solar fotovoltaica (photovoltaic - PV) multi-string em operação isolada, para o aproveitamento da máxima potência desta fonte. O sistema é composto por painéis solares, conversor CC-CC tipo elevador de tensão (boost), armazenamento por banco de baterias, inversor trifásico e carga trifásica variável. O sistema fotovoltaico foi modelado no MATLAB/Simulink de forma a representar a curva característica V-I do módulo PV, e que é baseado nos dados disponíveis em data-sheets de painéis fotovoltaicos comerciais. Outros estudos de natureza elétrica tais como o cálculo dos valores eficazes das correntes no conversor CC-CC, para avaliação das perdas, indispensáveis para o dimensionamento de componentes eletrônicos, foram realizados. O método tradicional Perturb and Observe de rastreamento do ponto de máxima potência (Maximum Power Point Tracking MPPT) de painéis foi testado e comparado com métodos que usam a Lógica Fuzzy. Devido ao seu desempenho, foi adotado o método Fuzzy que realiza o MPPT por inferência do ciclo de trabalho de um modulador por largura de pulso (Pulse Width Modulation - PWM) através da variação da potência pela variação da corrente do painel solar. O modelo Fuzzy adotado neste trabalho foi testado com sucesso. Os resultados mostraram que ele pode ser robusto e atende à aplicação proposta. Segundo alguns testes realizados, este controlador pode realizar o MPPT de um sistema PV na configuração multi-string onde alguns arranjos fotovoltaicos são usados. Inclusive, este controle pode ser facilmente adaptado para realizar o MPPT de outras fontes de energia baseados no mesmo princípio de controle, como é o caso do aerogerador. / This work presents the model of a Fuzzy Logic controller for a renewable energy system based on multi-string solar photovoltaic (PV) in stand-alone operation, to extract the maximum energy of this power source. The system consists of PV modules, DC-DC converter (Boost), a battery set, three-phase inverter and three-phase variable load. The photovoltaic system was modeled in MATLAB / Simulink in order to represent the V-I characteristic of the PV module, and which is based on the data provided by the manufacturer data-sheet. Other studies, such as the calculation of the RMS currents of the DC-DC converter components for evaluation of the losses, which are essential for the system design were accomplished. The conventional Perturb and Observe method for the Maximum Power Point Tracking (MPPT) of PV modules was tested and compared with methods that use Fuzzy Logic control. Due to its performance, it was adopted the Fuzzy method that performs the MPPT by inference of duty cycle of a Pulse Width Modulation (PWM) through the variation of PV power divided by the variation of the PV current. The Fuzzy model considered in this work was successfully tested. The results showed that it can be robust and suitable to the proposed application. According to some accomplished tests, the controller can perform the MPPT of a multi-string configuration of the solar PV system, in which several PV arrays are used. Moreover, it can also be easily adapted to perform the MPPT of other energy power sources based on the same control principle, as it is in the case of aerogenerators.