Os motores de indução trifásicos são largamente usados em vários setores da indústria. O dimensionamento da potência adequada de um motor de indução ou assíncrono trifásico, em função do comportamento das cargas acopladas ao eixo, continua em alguns casos impreciso pela falta de conhecimento mais completo do comportamento das cargas. A proposta deste trabalho consiste na utilização de sistemas Fuzzy como uma alternativa aos métodos tradicionais para levantamento do comportamento de carga e, em processos de controle, onde há a necessidade de conhecimento do comportamento do conjugado aplicado ao eixo do motor, enfocando diversos tipos de cargas encontrados em indústrias. Resultados de simulações são apresentados para validar a proposta deste trabalho. / The three phase induction motors are widely used in all industrial sectors. The selection procedure of the motor for a particular application is sometimes inaccurate due to the lack of complete knowledge about the load connected to its shaft. The proposal of this work consists of using Fuzzy system as an alternative tool to the classical methods for extraction of the load behavior and, in control process, where knowledge of the torque behavior applied to the motor shaft are need, focusing several types of loads found in industries. Simulation results are presented to validate the proposal of this work.

Os motores de indução trifásicos são largamente usados em vários setores da indústria. O dimensionamento da potência adequada de um motor de indução ou assíncrono trifásico, em função do comportamento das cargas acopladas ao eixo, continua em alguns casos impreciso pela falta de conhecimento mais completo do comportamento das cargas. A proposta deste trabalho consiste na utilização de sistemas Fuzzy como uma alternativa aos métodos tradicionais para levantamento do comportamento de carga e, em processos de controle, onde há a necessidade de conhecimento do comportamento do conjugado aplicado ao eixo do motor, enfocando diversos tipos de cargas encontrados em indústrias. Resultados de simulações são apresentados para validar a proposta deste trabalho. / The three phase induction motors are widely used in all industrial sectors. The selection procedure of the motor for a particular application is sometimes inaccurate due to the lack of complete knowledge about the load connected to its shaft. The proposal of this work consists of using Fuzzy system as an alternative tool to the classical methods for extraction of the load behavior and, in control process, where knowledge of the torque behavior applied to the motor shaft are need, focusing several types of loads found in industries. Simulation results are presented to validate the proposal of this work.

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In this thesis, high performance torque and speed control for a surface-mounted permanent magnet synchronous machine (PMSM) is designed, simulated and implemented. A three-phase two-level pulse width modulation voltage-source inverter (PWM-VSI) with power MOSFETs is used to feed the PMSM. The study has three objectives. The first is to compensate the voltage disturbance caused by nonideal characteristics of the voltage-source inverter (VSI). The second is to decouple the coupled variables in the synchronous reference frame model of the PMSM. The last is to design a load torque estimator in order to increase the disturbance rejection capability of the speed control. The angular acceleration required for load torque estimation is extracted through a Kalman filter from noisy velocity measurements. Proposed methods for improved torque and speed control performance are verified through simulations and experimental tests. The drive system is modeled in Matlab/Simulink, and control algorithms are developed based on this model. The experimental drive system comprises a three-phase VSI and a 385 W surface-mounted PMSM. Control algorithms developed in the study have been implemented in a digital signal processor (DSP) board and tested comprehensively. With the use of the proposed methods, a considerable improvement of torque and speed control performance has been achieved.

Les travaux de recherche développés, dans ce rapport de thèse de Doctorat traitent la commande vectorielle indirecte par orientation du flux statorique d'une machine asynchrone avec ou sans capteur de vitesse. L'approche développée utilise la méthode adaptative avec modèle de référence. Le modèle de référence ainsi que le modèle ajustable, qui sont développés dans un repère lié au stator, sont utilisés pour l'estimation de la vitesse de rotation, de la résistance rotorique et enfin l'estimation mutuelle de la vitesse de rotation et de résistance rotorique d'une machine asynchrone à partir de la connaissance des courants et tensions statoriques. Pour annuler l'erreur statique lors de la régulation de la vitesse et améliorer par la suite les performances des résultats obtenus, le couple résistant, qui peut être considéré comme une perturbation, a été estimé en se basant sur les variables d'état du moteur à commander. Pour cela une procédure d'estimation du couple résistant de la même machine a été développée en se basant sur un observateur de type Luenberger. Les résultats de simulation numérique obtenus dans l'environnement Matlab- Simulink ainsi que les résultats expérimentaux, obtenus sur deux plates formes d'essais de machines asynchrones équipées chacune d'une carte de commande temps réel de type DS1104, valident bien les algorithmes développés. / The research developed in this PhD report deal with indirect stator field oriented control (ISFOC) of an induction motor drive (IM), with and without speed sensor. The developed approach uses the method with Model Reference Adaptive System (MRAS). The reference model and the adjustable one, which are developed in stationary stator reference frame, are used to estimate the rotor speed, the rotor resistance and the simultaneous estimation of speed and rotor resistance of the (IM) from the knowledge of the stator currents and voltages. To cancel the static error in the speed control and ameliorate subsequently the performance results, the load torque, which can be considered as a disturbance, has been estimated based on the state variables of the motor to be controlled. For this, a procedure was developed to estimate the torque of the same machine based on a Luenberger observer. The numerical simulations results obtained with Matlab-Simulink software package as well as the experimental results, obtained on two platforms for testing asynchronous machines each equipped with a real time controller board of dSPACE, validate the developed algorithms.