Uno de los campos más importantes de la Electrónica de Potencia es el de los convertidores de potencia conmutados, que debido a sus características de alto rendimiento energético, reducido tamaño, posibilidades de regulación del factor de potencia y de elevación de tensión, etc., están presentes en un gran número de las etapas de alimentación de los equipos electrónicos actuales.Las mejoras tecnológicas en ámbitos como el de la integración de circuitos han permitido importantes reducciones en el tamaño de los equipos (por ejemplo en los ordenadores). Sin embargo, este proceso de reducción de tamaño que, además, suele venir unido a unas especificaciones más rígidas en cuanto a costes, rendimiento, seguridad y prestaciones en general, no se ha producido en igual medida en las etapas de alimentación. El estudio de los convertidores conmutados es por lo tanto un campo necesitado de esfuerzos de investigación y desarrollo.Para potencias superiores a 25 W, y especialmente en potencias superiores a 150 W, una de las estrategias utilizadas para mejorar las prestaciones de los convertidores es el uso del denominado "interleaving" o entrelazado , definido como la puesta en paralelo de N convertidores idénticos desfasando sus señales de control de forma uniforme a lo largo del periodo de conmutación.Con el objetivo principal de reducir al máximo los rizados de la tensión de salida y de la corriente de entrada, en esta tesis se estudian casos particulares de "interleaving" en estructuras convertidoras continua-continua que utilizan el convertidor elevador ("boost") como célula básica y cuyas tensiones de salida son, idealmente y operando en modo de conducción continua, múltiplos enteros positivos de la tensión de entrada, de ahí la denominación de multiplicadores de tensión que aparece en el título de tesis propuesto. Posteriormente se analizan las posibilidades de regulación de tensión que presentan algunos de los casos de estudio, a costa de incrementar los rizados.

In order to have an interception with a target, a missile should be guided with a successful guidance algorithm accompanied with a suitable autopilot structure. In this study, different autopilot and guidance designs for a canard-controlled missile are developed. As a first step, nonlinear missile mathematical model is derived by using the equations of motion with aerodynamic coefficients found by Missile DATCOM program. Autopilot design starts by the linearization of the nonlinear missile model around equilibrium flight conditions. Controllers based on the concepts of optimal control theory results and sliding mode control are designed. In all of the designs, angle of attack command and roll angle command type autopilot structures are used. During the design process, variations in angle of attack, Mach number and altitude can lead to significant performance degradation. This problem is typically solved by applying gain-scheduling methodology according to these parameters. There are different types of guidance methods in the literature. Throughout this study, proportional navigation guidance and its modified forms are selected as a base algorithm in the guidance system design. Other robust forms of guidance methods, such as an optimal guidance approach and sliding mode guidance, are also formed for performance comparison with traditional proportional navigation guidance approach. Finally, a new guidance method, optimal proportional-integral guidance, whose performance is the best among all of the methods included in the thesis against highly maneuvering targets, is introduced.

Based on sliding-mode control theory, this thesis proposes an integrated design of robust speed controller and quantized current regulator to achieve the control of inverter for BLDC motor. Moreover, using Digital Signal Processor (DSP) as well as the proposed inverter technology as the control kernel, a fully digital drive module of Brushless DC motor (BLDC) is robustly designed to achieve the high-performance speed control. Under the influence of system disturbances, the designed drive module can obtain a good tracking response for speed and current control. According to the simulation and experimental studies, the proposed hybrid control strategy can simultaneously achieve the objective for the speed and current control of BLDC motor. Compared with traditional pulse-width modulation (PWM) based PID control, the better speed control performance can be conducted by the provided approach.

Dans un contexte comme celui des technologies aérospatiales, qui se caractérise non seulement par sa complexité, mais aussi par sa difficulté à régler les erreurs une fois que le véhicule est dans son environnement final, l’utilisation des simulateurs de satellite sur Terre pour le développement et la vérification de nouveaux systèmes offre une alternative intéressante aux simulations traditionnelles par ordinateur. Plus précisément, dans le cas de la commande d’attitude, la possibilité d’utiliser la dynamique réelle du satellite pendant les phases de conception et de développement présente des avantages tels que l’inclusion des systèmes difficiles à modéliser et la réduction du risque d’erreur et du temps de vérification. Cependant, cette technologie est encore récente et est de ce fait sujette à être améliorée afin d’offrir le meilleur scénario possible pour le développement des algorithmes de commande d’attitude de la prochaine génération de satellites. À cet effet, l’Université de Sherbrooke et la société NGC Aérospatiale Ltée. développent en partenariat le simulateur matériel de satellite LABSAT qui possède toutes les fonctionnalités d’un véhicule spatial incluant les actionneurs, capteurs, calculateurs embarqués et éléments flexibles. Le projet présenté dans ce document consiste à concevoir et mettre en œuvre sur le minisatellite LABSAT un premier système de navigation et commande permettant d’exécuter les manœuvres en orientation à partir d’une station de contrôle. À cette fin, les différents sous-systèmes du simulateur matériel ont été intégrés et des solutions en termes de calibration de capteurs, d’estimateur d’état et de systèmes de commande ont été analysées théoriquement et en simulation. Les techniques les plus appropriées ont été, par la suite, implémentées et évaluées sur le système final, dans le but de vérifier leur fonctionnement dans l’environnement réel.

In this thesis a class of robust non-linear controllers for a gantry crane system are discussed. The gantry crane has three degrees of freedom, all of which are interrelated. These are the horizontal traverse of the cart, the vertical motion of the goods (i.e. rope length) and the swing angle made by the goods during the movement of the cart. The objective is to control all three degrees of freedom. This means achieving setpoint control for the cart and the rope length and cancellation of the swing oscillations. A mathematical model of the gantry crane system is developed using Lagrangian dynamics. In this thesis it is shown that a model of the gantry crane system can be represented as two sub models which are coupled by a term which includes the rope length as a parameter. The first system will consist of the cart and swing dynamics and the other system is the hoist dynamics. The mathematical model of these two systems will be derived independent of the other system. The model that is comprised of the two sub models is verified as an accurate model of a gantry crane system and it will be used to simulate the performance of the controllers using Matlab. For completeness a fully coupled mathematical model of the gantry crane system is also developed. A detailed design of a gain scheduled sliding mode controller is presented. This will guarantee the controller's robustness in the presence of uncertainties and bounded matched disturbances. This controller is developed to achieve cart setpoint and swing control while achieving rope length setpoint control. A non gain scheduled sliding mode controller is also developed to determine if the more complex gain scheduled sliding mode controller gives any significant improvement in performance. In the implementation of both sliding mode controllers, all system states must be available. In the real-time gantry crane system used in this thesis, the cart velocity and the swing angle velocity are not directly available from the system. They will be estimated using an alpha-beta state estimator. To overcome this limitation and provide a more practical solution an optimal output feedback model following controller is designed. It is demonstrated that by expressing the system and the model for which the system is to follow in a non-minimal state space representation, LQR techniques can be used to design the controller. This produces a dynamic controller that has a proper transfer function, and negates the need for the availability of all system states. This thesis presents an alternative method of solving the LQR problem by using a generic eigenvalue solution to solve the Riccati equation and thus determine the optimal feedback gains. In this thesis it is shown that by using a combination of sliding mode and H??? control techniques, a non-linear controller is achieved which is robust in the presence of a wide variety of uncertainties and disturbances. A supervisory controller is also described in this thesis. The supervisory control is made up of a feedforward and a feedback component. It is shown that the feedforward component is the crane operator's action, and the feedback component is a sliding mode controller which compensates as the system's output deviates from the desired trajectory because of the operator's inappropriate actions or external disturbances such as wind gusts and noise. All controllers are simulated using Matlab and implemented in real-time on a scale model of the gantry crane system using the program RTShell. The real-time results are compared against simulated results to determine the controller's performance in a real-time environment.

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Includes bibliographical references (p. 170-177).

As ligas com memória de forma (Shape Memory Alloy - SMA) consistem em um grupo de materiais metálicos que possuem a habilidade de retornar a um formato ou tamanho previamente definido quando submetidas a um ciclo térmico adequado, devido a alterações em sua estrutura cristalina. Esta mudança não é um processo termodinamicamente reversível, apresentando, conseqüentemente, histerese. Portanto, a característica principal destes materiais é a habilidade de sofrer grandes deformações e, em seguida, recuperar sua forma original quando a carga é removida ou o material é aquecido. Assim, pode-se utilizar esse fenômeno para construir atuadores leves e silenciosos, como verdadeiros músculos metálicos. O desenvolvimento de atuadores com as SMAs apresenta grande atrativo para diversos campos da engenharia, principalmente na área de robótica, substituindo os atuadores convencionais de grande peso e ruidosos, como motores, válvulas solenóides, etc. Entretanto, para o bom desempenho de atuadores SMA requer-se um complexo sistema de controle e resfriamento, reduzindo-se o tempo de resposta do atuador e minimizando-se os efeitos da histerese. Neste trabalho, propõe-se um inovador sistema de resfriamento, baseado em pastilha termo-elétrica (efeito Seebeck-Peltier). Este método possui a vantagem de ser mais compacto e simples que outros métodos de resfriamento forçado. Um modelo matemático completo foi também desenvolvido, e um protótipo experimental foi construído. Diversos experimentos foram utilizados para a validação do modelo e para a identificação de todos seus parâmetros. Analisou-se então a aplicabilidade de um controle de posição baseado em algoritmo PID, utilizando-se diversos métodos de ajuste de ganhos. Verificou-se um desempenho razoável, com uma largura de banda em malha fechada de aproximadamente 0,37Hz. Em seguida, desenvolveu-se um sistema de controle de posição baseado em teoria de modos deslizantes (sliding mode control), que utiliza o modelo matemático do sistema e leva em conta as não linearidades existentes. Embora matematicamente mais complexo, obteve-se um desempenho superior ao PID, com largura de banda de 0,69Hz. Diversos experimentos confirmaram também a robustez deste controlador e seu bom desempenho na presença de distúrbios. / Shape Memory Alloys (SMA) consist of a group of metallic materials that demonstrate the ability to return to some previously defined shape when subjected to the appropriate thermal cycle, due to shift in the materials crystalline structure. The change that occurs within SMAs crystalline structure is not a thermodynamically reversible process and results in hysteresis behavior. The key feature of these materials is the ability to undergo large plastic strains and subsequently recover these strains when a load is removed or the material is heated. Such property can be used to build silent and light actuators, similar to a mechanical muscular fiber. SMA actuators have several advantages in several engineering fields, mainly in robotics, replacing the conventional actuators like motors or solenoids. However, the good performance of the SMA actuator depends on a complex control and cooling systems, reducing the time constant and minimizing the effects of hysteresis. In the present work, a novel cooling system is proposed, based on thermo-electric effect (Seebeck-Peltier effect). Such method has the advantage of reduced weight and requires a simpler control strategy compared to other forced cooling systems. A complete mathematical model of the actuator was also derived, and an experimental prototype was implemented. Several experiments were used to validate the model and to identify all parameters. A PID position control system was developed and implemented in the prototype, using several tuning methods. A good performance was obtained, with a cut-off frequency of 0.37Hz. A position controller based on sliding mode theory was then developed, using the mathematical model of the system and taking into account the non-linear effects. Although such controller presents a more complex mathematical derivation, a better performance was obtained, with a cut-off frequency of 0.69Hz. Several experiments confirmed the robustness and disturbance filtering properties of the sliding mode controller.

Indiana University-Purdue University Indianapolis (IUPUI) / With the increasing demand of economy and environmental pollutions, more and more renewable energy systems with clean sources appear and have attracted attention of systems involving solar power, wind power and hybrid new energy powers[1]. However, there are some difficulties associated with combined utilization of solar and wind, such as their intermittent behavior and their peak hours mismatch in generation and consumption[1]. For this purpose, advanced network of a variety of renewable energy systems along with controllable load and storage units have been introduced[1-3]. This thesis proposes some configurations of hybrid energy harvesting systems, including wind-wind-storage DC power system with BOOST converters, solar-solar-storage DC power system with cascade BOOST converters, wind-solar-storage DC power system with BOOST converter and cascade BOOST converter, and wind-solar DC power system with SEPIC converter and BOOST converter. The models of all kinds of systems are built in Matlab/Simulink and the mathematical state-space models of combined renewable energy systems are also established. Several MPPT control strategies are introduced and designed to maximize the simultaneous power capturing from wind and solar, such as Perturb & Observe (P&O) algorithm for solar and wind, Tip Speed Ratio (TSR) control and Power Signal Feedback (PSF) control for wind, and Sliding Mode Extremum Seeking Control (SM-ESC) for wind and solar systems[4]. The control effects of some of these MPPT methods are also compared and analyzed. The supervisory control strategies corresponding to each configurations are also discussed and implemented to maximize the simultaneous energy harvesting from both renewable sources and balance the energy between the sources, battery and the load[2]. Different contingencies are considered and categorized according to the power generation available at each renewable source and the state of charge in the battery[2]. Applying the system architectures and control methods in the proposed hybrid new energy systems is a novel and significant attempt, which can be more general in the practical applications. Simulation results demonstrate accurate operation of the supervisory controller and functionality of the maximum power point tracking algorithm in each operating condition both for solar and for wind power[3]

No description available.

No description available.