Orientador: Edson Bim / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-07-21T11:58:56Z (GMT). No. of bitstreams: 1 Pereira_ValmirMachado_M.pdf: 3590571 bytes, checksum: 64d5729c458a96919ef78024257af6a4 (MD5) Previous issue date: 1996 / Resumo: Esta dissertação tem o objetivo de determinar um modelo matemático para o motor de indução bifásico assimétrico com os enrolamentos de estator conectados em T e investigar algumas propriedades tais como aceleração livre, característica estática conjugado-velocidade e as correntes em regime permanente. Este motor é projetado para ser alimentado a partir de duas fases e do neutro, e requer um valor particular para a relação de espiras entre os enrolamentos do estator. Inicialmente, uma transformação de variáveis é realizada com a finalidade de encontrar um motor equivalente que não possua nenhum ponto condutivo comum entre os enrolamentos e que apresente a mesma fm.m do motor original. Fazendo uso do conceito de circuitos acoplados são obtidas as equações básicas. A seguir, essas variáveis são escritas no sistema de referência estacionário e um circuito equivalente é obtido. Utilizando esse circuito equivalente, são apresentados resultados de simulação computacional e resultados de testes experimentais.A comparação dos mesmos exibiram uma boa concordância,mostrando que o modelo matemático é adequado / Abstract: This dissertation has the aim of determining a mathematical model for asymmetrical two-phase induction motor with T-connected stator windings and to investigate some properties such as free acceleration, steady-state torque-speed characteristic and steady-state currents. This motor is designed to operate from supply of two phases and neutral, and a particular value for the stator tums ratio is required. First, a transformation of variables is accomplishedto obtain an equivalent motor that do not have electric connection and that presents the same m.m.f. of original motor. Making use of the concept couple circuits, the basic equations are derived. Second, these variables are written in the stationary referencefTameand an equivalentcircuit is obtained. By using this equivalent circuit, computer simulationis presented and compared with experimental results. The tests exhibited a good agreement, showing that the mathematical model is adequate / Mestrado / Mestre em Engenharia Elétrica

Orientador: Edson Bim / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-19T12:13:39Z (GMT). No. of bitstreams: 1 Kanekiyo_MarcoTadashi_M.pdf: 2199502 bytes, checksum: 0f0e07fdf7f52de94709720bdddef861 (MD5) Previous issue date: 2011 / Resumo: O objetivo deste trabalho é o de implementar o controle de velocidade e de potência reativa de um motor de indução duplamente alimentado com orientação de fluxo de estator, mediante o ajuste das componentes de eixo direto e em quadratura das correntes de rotor, sendo o estator conectado à rede elétrica trifásica. Para isto foram utilizados quatro controladores PI: dois deles têm a função de gerar as referências dessas correntes a partir dos erros da potência reativa e da velocidade, e os outros dois, a de gerar as referências das tensões de eixo direto e em quadratura, a partir dos erros dessas mesmas correntes. Resultados experimentais do motor operando com fator de potência adiantado, unitário e atrasado são apresentados para validar a proposta. O sistema de controle, implementado por um DSP TMS320F2812, é responsável pela leitura das tensões e correntes de estator, da velocidade e da estimação da posição do eixo, pelas transformações de variáveis, pela implementação dos controladores PI, pela determinação da magnitude e posição do fluxo de estator e pela implementação da modulação do vetor espacial / Abstract: The purpose of this work is to present the implementation of the speed control and reactive power of a doubly fed induction motor with stator flux orientation, by adjusting of the direct and quadrature-axis rotor current components, being the stator fed by a triphasic network. With this aim, four PI controllers are used: two of them have the function of generating the direct and quadrature references of the rotor current from the direct and quadrature rotor voltage errors and the others two, of generating the direct and quadrature references of the rotor voltage from the direct and quadrature rotor current errors. Experimental results of the motor operating with leading, lagging and unity power factor are presented to validate the proposal. The control algorithm is implemented with a digital signal processor and it has the following functions: lecture of the voltages and currents of rotor, lecture of speed and estimation of rotor position, transformations of variables, implementation of the PI controllers, calculus of magnitude and position of stator flux and space vector modulation / Mestrado / Energia Eletrica / Mestre em Engenharia Elétrica

Orientador: Ernesto Ruppert Filho, Alfeu Joãozinho Sguarezi Filho / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-22T11:09:49Z (GMT). No. of bitstreams: 1 AzcuePuma_JoseLuis_D.pdf: 5829554 bytes, checksum: 6f4467c529a778cc79e42550a272a6b3 (MD5) Previous issue date: 2013 / Resumo: Na presente tese de doutorado propõe estratégias de controle por orientação direta de campo (FOC direto) e de controle direto de torque (CDT) com emprego de controladores fuzzy do tipo Takagi-Sugeno (fuzzy T-S). Propõe-se também, uma estratégia de CDT baseado no controle do ¿angulo de carga com o emprego do controle por modos deslizantes (CDT-CMD). As estratégias de controle vetorial propostas são utilizadas para o controle de alto desempenho do motor de indução trifásico. O controlador fuzzy T-S proposto utiliza uma única base de regras para gerar as componentes de eixo direto e de quadratura do vetor espacial da tensão do estator. Isto simplifica a estrutura do controlador fuzzy T-S e em consequência diminui o custo computacional e seu tempo de processamento. Na estratégia de CDT com o controle por modos deslizantes o esforço de controle é sempre o máximo possível no sentido de reduzir os erros do torque e do fluxo. Assim, é possível obter uma resposta rápida no controle do fluxo e do torque. Os resultados de simulação e experimentais são apresentados para validarem as propostas desta tese de doutorado. Os controladores apresentaram um desempenho dinâmico satisfatório pois as referências de torque e de fluxo foram atendidas. Todos os resultados obtidos mostraram-se compatíveis com os resultados apresentados na literatura, validando as estratégias de CDT e de FOC direto propostas / Abstract: This thesis proposes a direct field oriented control (D-FOC) and direct torque control (DTC) strategies with Takagi-Sugeno fuzzy controllers (T-S fuzzy). Also it proposes a DTC strategy based on load angle control with the use of sliding mode control (DTC-SMC). The proposed vector control strategies are used for high performance control of three-phase induction motor. The proposed T-S fuzzy controller uses a single rule base to generate the direct-axis and quadrature-axis components of the stator voltage space vector. This simplifies the structure of the T-S fuzzy controller and consequently it reduces the computational cost and its processing time. However, in the sliding mode control the control effort is always the maximum possible in order to reduce the errors of the torque and the flux. Hence, it is possible to get a fast response in the control of the torque and the flux. The proposed controllers showed a good dynamic performance because the references were achieved. The experimental and simulation results of the vector control strategies were presented to validate the proposed controllers. All the obtained results were consistent with the results reported in the literature, validating the proposed DTC and D-FOC strategies / Doutorado / Energia Eletrica / Doutor em Engenharia Elétrica

The aim of this semester work is to analyze the losses of induction motor, according to their measure, use programs using the finite element method for the detection of the motor and the subsequent evaluation and comparison of the results obtained. The first part deals with the general AM, losses and measure their losses. The next section is very Lossmeasurement submitted asynchronous motors. The measured two machines have different characteristics in the sheet. The following section is calculating the losses using the finite element method using ANSYS Maxwell and RMXprt.The next part is the analysis of motor losses with a different number of rotor bars. This section is addressed to the models developed and validated by measuring the actual machine.

<p>This thesis presents a study of the effects of inter-bar currents on inductionmotor starting performance and stray-load losses. The work is focused on theperformance differences between aluminium and copper casted rotors.A method to predict the stator current when starting direct-on-line isdeveloped. This includes modelling of skin-effect, saturation of the leakageflux paths and additional iron losses. The results are verified by measurements.An analytical model accounting for inter-bar currents is derived, andthe dependency of the harmonic rotor currents on the inter-bar resistivity isinvestigated. It is found that the inter-bar currents can have considerableeffect on motor starting performance and stray-load losses, the amount beingstrongly dependent on the harmonic content of the primary MMF.Based on measurements of inter-bar resistivity, the starting performanceof an aluminium and a copper casted rotor is simulated. The results indicatea higher pull-out torque of the aluminium rotor than for the equivalent copperrotor. This is rather due to an increase of the fundamental starting torque ofthe aluminium rotor, than due to braking torques from the space harmonicsin the copper rotor. The results are verified by measurements. It is foundthat the difference between the pull-out torques is even larger than calculatedfrom the model. Thereby, it can be concluded that the inter-bar currents havea considerable effect on motor starting performance.At rated speed the braking torques are larger in the aluminium rotor thanin the copper rotor. This is seen as increased harmonic joule losses in the rotorcage. Simulations have shown, that these losses can be as large as 1% ofthe output power for the studied machine.</p> / QC20100617

A velocidade dos motores de indução é uma grandeza importante em um processo industrial. Entretanto, a medição direta da velocidade em motores de indução pode comprometer o sistema de acionamento e controle, aumentando o custo de implementação. Assim, as técnicas sensorless destinadas a estimar ou prever a velocidade em motores de indução são amplamente investigadas para uso em várias unidades industriais. Essa estratégia, quando baseada nos modelos matemáticos dos motores de indução é, normalmente, dependente dos parâmetros da máquina ou requer outro método que faça uma estimativa ou previsão. Assim, a abordagem alternativa deste trabalho consiste no uso de duas estratégias de implementação de redes neurais artificiais como estimador de velocidade aplicado a duas estratégias de controle do motor de indução orientado pelo campo do estator, controle direto de corrente e controle direto de torque. A velocidade síncrona, as correntes do estator e o torque eletromagnético, que são variáveis utilizadas nos algoritmos de acionamentos orientados no campo eletromagnético, são as entradas dos estimadores neurais propostos. Neste trabalho, resultados de simulação são aplicados no processo de seleção das redes neurais e os resultados experimentais mostram o desempenho de duas estratégias de implementação do estimador neural de velocidade embarcadas em DSP em diferentes metodologias de controle com dois motores de indução de potências diferentes. / The induction motor speed is an important quantity in an industrial process. However, the direct measurement of speed on induction motors can compromise the drive and control system, increasing the implementation cost. Thus, sensorless techniques aimed at estimating or predicting the speed in induction motors are widely investigated to be used in industrial plant units. This strategy, when based on the mathematical models of the induction motors is, usually, dependent on the machine parameters or requires another method that makes an estimation or prediction. Thus, the alternative approach of this work consists in the use of two implementation strategies of artificial neural networks as speed estimator applied to two stator field-oriented induction motor control strategies, direct current control and direct torque control. The synchronous speed, the stator currents and the electromagnetic torque, which are quantities used in field-oriented drives, are the inputs of the proposed neural estimators. In this work, simulation results are applied to neural networks selection process and the experimental results show the performance of two implementation strategies of the neural speed estimator embedded in DSP in different control methodologies with two induction motors with different powers.

Este trabalho apresenta uma alternativa ao controle vetorial de motores de indução, sem a utilização de sensores para realimentação da velocidade mecânica do motor. Ao longo do tempo, diversas técnicas de controle vetorial têm sido propostas na literatura. Dentre elas está a técnica de controle por orientação de campo (FOC), muito utilizada na indústria e presente também neste trabalho. A principal desvantagem do FOC é a sua grande sensibilidade às variações paramétricas da máquina, as quais podem invalidar o modelo e as ações de controle. Nesse sentido, uma estimativa correta dos parâmetros da máquina, torna-se fundamental para o acionamento. Este trabalho propõe o desenvolvimento e implementação de um estimador baseado em um sistema de inferência neuro-fuzzy adaptativo (ANFIS) para o controle de velocidade do motor de indução trifásico em um acionamento sem sensores. Pelo fato do acionamento em malha fechada admitir diversas velocidades de regime estacionário para o motor, uma nova metodologia de treinamento por partição de frequência é proposta. Ainda, faz-se a validação do sistema utilizando a orientação de campo magnético no referencial de campo de entreferro da máquina. Simulações para avaliação do desempenho do estimador mediante o acionamento vetorial do motor foram realizadas utilizando o programa Matlab/Simulink. Para a validação prática do modelo, uma bancada de testes foi implementada; o acionamento do motor foi realizado por um inversor de frequência do tipo fonte de tensão (VSI) e o controle vetorial, incluindo o estimador neuro-fuzzy, foi realizado pelo pacote de tempo real do programa Matlab/Simulink, juntamente com uma placa de aquisição de dados da National Instruments. / This work presents an alternative sensorless vector control of induction motors. Several techniques for induction motor control have been proposed in the literature. Among these is the field oriented control (FOC), strongly used in industries and also in this work. The main drawback of the FOC technique is its sensibility to deviations of the parameters of the machine, which can deteriorate the control actions. Therefore, an accurate determination of the machines parameters is mandatory to the drive system. This work proposes the development of an adaptive neuro-fuzzy inference system (ANFIS) estimator to control the angular speed of a three-phase induction motor in a sensorless drive. In a closed loop configuration, several speed commands can be imposed to the motor. Thus, a new frequency partition training of ANFIS is proposed. Moreover, the ANFIS speed estimator is validated in a magnetizing flux oriented control scheme. Simulations to evaluate the performance of the estimator considering the vector drive system were done by the Matlab/Simulink. To determine the benefits of the proposed model a practical system was implemented using a voltage source inverter (VSI) and the vector control including the ANFIS estimator, carried out by the Real Time Toolbox from Matlab/Simulink and a data acquisition card from National Instruments.

Este trabalho apresenta uma alternativa ao controle vetorial de motores de indução, sem a utilização de sensores para realimentação da velocidade mecânica do motor. Ao longo do tempo, diversas técnicas de controle vetorial têm sido propostas na literatura. Dentre elas está a técnica de controle por orientação de campo (FOC), muito utilizada na indústria e presente também neste trabalho. A principal desvantagem do FOC é a sua grande sensibilidade às variações paramétricas da máquina, as quais podem invalidar o modelo e as ações de controle. Nesse sentido, uma estimativa correta dos parâmetros da máquina, torna-se fundamental para o acionamento. Este trabalho propõe o desenvolvimento e implementação de um estimador baseado em um sistema de inferência neuro-fuzzy adaptativo (ANFIS) para o controle de velocidade do motor de indução trifásico em um acionamento sem sensores. Pelo fato do acionamento em malha fechada admitir diversas velocidades de regime estacionário para o motor, uma nova metodologia de treinamento por partição de frequência é proposta. Ainda, faz-se a validação do sistema utilizando a orientação de campo magnético no referencial de campo de entreferro da máquina. Simulações para avaliação do desempenho do estimador mediante o acionamento vetorial do motor foram realizadas utilizando o programa Matlab/Simulink. Para a validação prática do modelo, uma bancada de testes foi implementada; o acionamento do motor foi realizado por um inversor de frequência do tipo fonte de tensão (VSI) e o controle vetorial, incluindo o estimador neuro-fuzzy, foi realizado pelo pacote de tempo real do programa Matlab/Simulink, juntamente com uma placa de aquisição de dados da National Instruments. / This work presents an alternative sensorless vector control of induction motors. Several techniques for induction motor control have been proposed in the literature. Among these is the field oriented control (FOC), strongly used in industries and also in this work. The main drawback of the FOC technique is its sensibility to deviations of the parameters of the machine, which can deteriorate the control actions. Therefore, an accurate determination of the machines parameters is mandatory to the drive system. This work proposes the development of an adaptive neuro-fuzzy inference system (ANFIS) estimator to control the angular speed of a three-phase induction motor in a sensorless drive. In a closed loop configuration, several speed commands can be imposed to the motor. Thus, a new frequency partition training of ANFIS is proposed. Moreover, the ANFIS speed estimator is validated in a magnetizing flux oriented control scheme. Simulations to evaluate the performance of the estimator considering the vector drive system were done by the Matlab/Simulink. To determine the benefits of the proposed model a practical system was implemented using a voltage source inverter (VSI) and the vector control including the ANFIS estimator, carried out by the Real Time Toolbox from Matlab/Simulink and a data acquisition card from National Instruments.

La thèse étudie tout d’abord la relation entre les harmoniques à fentes du rotor (RSHs) et la vitesse du rotor instantanée. Pour suivre directement l'RSH, les exigences du système sont pleinement prises en compte.Dans un deuxième temps, les travaux de thèse ont permis de développer un système sans capteur en fonction de boucle à verrouillage de phase (PLL): La largeur de bande centrale est réglée en ligne sur la base des valeurs de référence, des fréquences d'alimentation et de glissement prévues au convertisseur PWM, la PLL est réglée pour suivre le rotor de la machine à RSH sans la nécessité de toute injection de signal à haute fréquence, ni en rotation, ni de pulsation. Ce système d'estimation de vitesse, qui est approprié pour le contrôleur scalaire, avait été intégré avec le lecteur scalaire, conduisant à un simple calcul peu exigeant, à faible coût de l’entraînement de la machine à induction sans capteur à faible coût. Les résultats expérimentaux montrent que le système est en mesure de suivre la vitesse de la machine dans une plage de vitesse très étendue.Enfin, un système sans capteur amélioré basé sur l'analyse de composant mineur (MCA) neurones est décrit. Selon la théorie de Pisarenko, il a été vérifié que le MC qui se trouve dans le sous-espace de bruit est orthogonale au sous-espace de signal, par conséquent, les fré-quences de signal contenues dans l'entrée peuvent être calculées à partir d'un polynôme formé par la MC. Classiquement, ce qui nécessitera la décomposition propre encombrants, néan-moins, la méthode de neurones proposée dans cette thèse peut récupérer le MC de façon ré-cursive avec moins de calculs et des performances améliorées d'erreur (la solution est sur un total de moins sens carré). En outre, l'estimateur de vitesse est appliquée à l'entraînement scalaire avec vérification expérimentale, l'ensemble du système se comporte bien, et la méthode MCA renforcée par réseaux neuronaux a fourni un bon potentiel dans l'application des harmoniques récupérer. / The thesis first studies the relation between the rotor slot harmonics (RSHs) and the instan-taneous rotor speed. To directly track the RSH, the requirements of the system are fully ad-dressed.Second, the thesis presents a sensorless scheme based on phase-locked loop (PLL): The centre bandwidth is tuned on-line on the basis of the reference values of the supply and slip frequencies provided to the PWM converter, the PLL is tuned to track the machine rotor slot-ting harmonic without the need of any high frequency signal injection, neither rotating nor pulsating. This speed estimation scheme, which is suitable for the scalar controller, had been integrated with the scalar drive, leading to a simple, computationally not demanding, low cost sensorless IM drives. The experiment results show that the system is able to track the machine speed in a very wide speed range.Finally, an improved sensorless scheme based on minor component analysis (MCA) neu-rons is described. According to the Pisarenko’s theory, it has been verified that the MC which lies in the noise subspace is orthogonal to the signal subspace, thus, the signal frequencies contained in the input can be computed from a polynomial formed by the MC. Conventional-ly, this will require the bulky eigen-decomposition, nevertheless, the neural method proposed in this thesis can retrieve the MC recursively with less computation and improved error per-formance (the solution is of total least square meaning). Moreover, the speed estimator is ap-plied to the scalar drive with experimental verification, the overall system is well behaved, and the MCA method enhanced by neural networks has provided a good potential in the ap-plication of harmonics retrieve.

Multilevel inverters have advantages over two-level inverters such as reduced THD, ability to operate at low switching frequencies, reduced switching losses etc. Moreover, higher voltage levels can be handled with devices of lower voltage rating. The main disadvantage with the multilevel configurations compared to the two-level inverter configuration is the increase in the number of power devices required and the circuit complexity, which necessitates complex control schemes that add to the cost. Also, the reliability of the converters comes down as the number of devices increases. Reduction in complexity and modularity are desirable characteristics for the multilevel inverters. Open-end winding Induction Motor (IM) drive configurations are shown to have advantages over the motor drive schemes with isolated neutral. The DC-link requirement in case of open-end winding structures comes down to half the voltage rating of the conventional NPC inverters. The DC- link requirement in case of open-end winding structures comes down to half compared to that of the conventional NPC inverters. The number of switching states is higher in the case of open-end winding configuration compared to multiplicity of switching states of conventional NPC inverters, which gives a control flexibility that can be used for optimizing the hardware requirements. Taking advantage of the flexibility given by open-end winding configuration, this thesis proposes schemes which have reduced power circuit complexity. Non-sinusoidal voltage fed IM drives suffer from the problems related to the common mode voltage (CMV) generated by the inverters. This CMV causes bearing currents and shaft voltages which in turn cause increased conducted EMI, ground loop currents and premature bearing failure. A three-level scheme was proposed for an open-end winding Induction machine in the literature, which completely eliminate the CMV variation from the pole voltages as well as the phase voltages. This configuration uses 24 controlled switches and two isolated DC-sources. In this thesis, three-level inverter schemes with CMV elimination and reduced power device count for an open-end winding IM drive are proposed. The first scheme gets the reduction in switch count by sharing the top inverter of the three-level scheme and the second scheme achieves the same by sharing the bottom inverter. This way, the number of controlled switches comes down to 18 from 24. Another problem with multilevel inverters is the large number of isolated DC-sources required to achieve the multilevel inversion. Reducing the number of isolated supplies and using capacitors to split the voltage levels poses the problem of capacitor voltage balancing. A four-level inverter with both CMV elimination and capacitor voltage balancing for an open-end winding IM drive is proposed in this thesis. The motor is fed by two four-level inverters from both the sides. A closed loop capacitor voltage balancing scheme is implemented and the redundancies in the switching states are used for achieving the capacitor voltage balancing and thereby reducing the total number of DC-link to two. The control scheme is independent of the load power factor and maintains the balance in the entire modulation range. A five-level inverter scheme is proposed for an open-end winding IM drive in this thesis. It requires only two isolated DC-sources to achieve the five-level inversion. The motor is fed by one NPC three-level inverter from one side and a two-level inverter from the other. The inverters on either side share the DC-sources. Common mode voltage in the phases are made zero in an average sense using sine-triangle modulation in the proposed scheme so that the common mode currents through the phases are suppressed. The maximum fundamental voltage that can be obtained at the phase is limited to 0.5Vdc. DC-link requirement of the inverter scheme is half of that of conventional five-level inverter scheme because of the open-end winding structure. The two-level inverter, which should withstand half the DC-link voltage, is always in square wave operation and hence the switching losses are very less. All the schemes are simulated extensively in MATLAB/Simulink and experimentally verified on laboratory prototypes under V/f control. TI Motor control DSP and Xilinx CPLD/FPGA are used for generation of the PWM signals for the schemes. The inverters are switched at around 1.25 kHz to keep the switching losses low. Due to laboratory constraints, the experimental verification is done on low power prototypes. Nonetheless, the generality of the schemes allow them to be used for medium voltage high power applications.