Tesis sobre el tema "Machine vector control"
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Sokola, Matija. "Vector control of induction machines using improved machine models". Thesis, Liverpool John Moores University, 1998. http://researchonline.ljmu.ac.uk/4899/.
Texto completoOzcelik, Eray. "Speed Sensorless Vector Control Of Induction Machine". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606063/index.pdf.
Texto completos disadvantages, estimates the position of the rotor flux. Obtaining adequate torque control via FOC, speed loop is closed using conventional PI regulators. Speed feedback is necessary to complete control loop. Model Reference Adaptive System is studied as a speed estimator. Reactive power scheme is applied to MRAS algorithm to estimate rotor speed. In this study, the direct (rotor) flux oriented control system with flux and speed estimators is described and tested in real-time with the starter kit named TMS320F2812 eZdsp DSK and the Embedded Target for the TI C2000 DSP tool of Matlab
Aleti, Kalyan Reddy. "E-quality control a support vector machines approach /". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Texto completoSharaf-Eldin, Thanaa. "Design and control of a synchronous reluctance machine drive". Thesis, Heriot-Watt University, 1999. http://hdl.handle.net/10399/1201.
Texto completoLiu, Yu. "SLOTLESS SIX-PHASE BRUSHLESS DC MACHINE DESIGN AND STEPPING VECTOR CONTROL". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440086585.
Texto completoMascarenhas, Manuel Maria Brás Pereira. "Speed control of induction machine based on direct torque control method". Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/9957.
Texto completoMulti-level converters have been receiving attention in the recent years and have been proposed as the best choice in a wide variety of medium voltage applications. They enable a commutation at substantially reduced voltages and an improved harmonic spectrum without a series connection of devices, which is the main advantage of a multi-level structure. The use of multi-level inverters contributes to the performances amelioration of the induction machine control. In fact, the use of three level inverter (or multilevel inverter) associated with DTC control can contribute to more reducing harmonics and the ripple torque and to have a high level of output voltage. A variation of DTC-SVM with a three level neutral point clamped inverter is proposed and discussed in the literature. The goal of this project is to study, evaluate and compare the DTC and the proposed DTC-SVM technique when applied to induction machines through simulations. The simulations were carried out using MATLAB/ SIMULINK simulation package. Evaluation was made based on the drive performance, which includes dynamic torque and flux responses, feasibility and the complexity of the systems.
Hedberg, Rikard. "Tree species classification using support vector machine on hyperspectral images". Thesis, Linköping University, Department of Electrical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54648.
Texto completoFor several years, FORAN Remote Sensing in Linköping has been using pulseintense laser scannings together with multispectral imaging for developing analysismethods in forestry. One area these laser scannings and images are used for is toclassify the species of single trees in forests. The species have been divided intopine, spruce and deciduous trees, classified by a Maximum Likelihood classifier.This thesis presents the work done on a more spectrally high-resolution imagery,hyperspectral images. These images are divided into more, and finer gradedspectral components, but demand more signal processing. A new classifier, SupportVector Machine, is tested against the previously used Maximum LikelihoodClassifier, to see if it is possible to increase the performance. The classifiers arealso set to divide the deciduous trees into aspen, birch, black alder and gray alder.The thesis shows how the new data set is handled and processed to the differentclassifiers, and shows how a better result can be achieved using a Support VectorMachine.
Wong, Hang Cheong. "Design and experimental evaluation of predictive engine air-ratio control using relevance vector machine". Thesis, University of Macau, 2009. http://umaclib3.umac.mo/record=b2182947.
Texto completoZhang, Yuan. "Sensorless Vector Control and Field Weakening Operation of Permanent Magnet Synchronous Machines". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1291219704.
Texto completoGarg, Aditie. "Designing Reactive Power Control Rules for Smart Inverters using Machine Learning". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83558.
Texto completoMaster of Science
Anghel, Cristian. "Sensorless Flux Vector Control for a Permanent Magnet Synchronous Machine with cylindrical rotor under severe starting conditions". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0023/MQ51613.pdf.
Texto completoErtugrul, Baris Tugrul. "Sensorless Vector Control Of Induction Motor Based On Flux And Speed Estimation". Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610297/index.pdf.
Texto completoa kind of sensorless closed loop estimation technique- and Kalman filters is given. With the comparison of sensorless closed-loop speed estimation techniques, it has been attempted to identify their superiority and inferiority to each other by the use of simulation models and real-time experiments. In the experiments, the performance of the techniques developed and used in the thesis has been examined under extensively changing speed and load conditions. The real-time experiments have been carried out by the use of TI TMS320F2812 digital signal processor, XILINX XCS2S150E Field Programmable Gate Array (FPGA), control card and the motor drive card Furthermore, Matlab &ldquo
Embedded Target for the TI C2000 DSP&rdquo
and &ldquo
Code Composer Studio&rdquo
software tools have been used. The simulations and experiments conducted in the study have illustrated that it is possible to increase the performance at low speeds at the expense of increased computational burden on the processor. However, in order to control the motor at zero speed, high frequency signal implementation should be used as well as a different electronic hardware.
Lee, Siu-keung y 李少強. "Reinforcement learning for intelligent assembly automation". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31244397.
Texto completoOuyang, Dingxin. "Intelligent Road Control System Using Advanced Image Processing Techniques". University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1352749656.
Texto completoBouzekri, Hacène. "Contribution à la commande des machines synchrones à aimants permanents". Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL054N.
Texto completoCastro, Allan Gregori de. "Controle preditivo Finite Control-Set aplicado à máquina síncrona com ímã permanente no rotor". Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-24042017-104320/.
Texto completoTorque ripples due to phase commutation are pointed to the main drawback of 120 degree 6 step control of synchronous motor with trapezoidal back electromotive force (back EMF). To reduce these ondulations, different vector control strategies are presented in the literature. This study proposes and analyzes the application of the Finite Control-Set Model-based Predictive Control in the current loop of vector control strategy of permanent magnet synchronous motor with trapezoidal back EMF. As a result, the control structure reduces the torque ripple comming from phase commutation and back EMF shape imperfections. This result is achieved without changing the converter topology, the DC link voltage or including aditional circuit. Concerning to dynamic response, the proposed control strategy offers fast torque dynamics without gain tunning needed and decoupled dynamic of variable control. Furthermore, it is implemented an improvement approach to FCS-MPC based on duty-cycle concept. This strategy reduces significantly the torque ripple in low speed range, demonstrating an advance over conventional FCS-MPC.
Kruger, Gert Lodewikus. "Implementation and evaluation of V/f and vector control in high–speed PMSM drives / Kruger G.L". Thesis, North-West University, 2011. http://hdl.handle.net/10394/7609.
Texto completoThesis (M.Ing. (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2011.
Zhang, Zai Yong. "Simultaneous fault diagnosis of automotive engine ignition systems using pairwise coupled relevance vector machine, extracted pattern features and decision threshold optimization". Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2493967.
Texto completoEsteves, Lucas Mangili [UNESP]. "Acionamento de motor de indução trifásico, sujeito a falhas, utilizando controle com estrutura variável e modos deslizantes". Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/148779.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Este trabalho apresenta uma análise do motor de indução trifásico (MIT), que é um dos motores mais utilizados em aplicações industriais, e de diferentes metodologias de controle de velocidade aplicadas para este tipo de motor. A princípio realizou-se um estudo do funcionamento do MIT sem nenhum tipo de controle, para somente depois analisar-se tanto técnicas clássicas e já bastante difundidas no controle deste tipo de máquina como também um tipo específico de controlador robusto, a fim de utilizá-lo para substituir os controladores clássicos na intenção de obter-se um desempenho superior. O controlador robusto escolhido foi do tipo com Estrutura Variável e Modos Deslizantes (CEV-MD). Este trabalho foca no estudo do Controle Vetorial Indireto com Orientação sobre o Fluxo do Rotor, sendo utilizados juntamente deste método um controlador clássico (do tipo PI, Proporcional Integral) e o controlador robusto projetado (do tipo CEV-MD), no intuito de realizar-se uma comparação entre o desempenho dos dois controladores mediante diferentes condições de operação, incluindo-se variação de parâmetros do motor e falhas de queda de tensão nos terminais da máquina. Todos os estudos e projetos resultaram em um conjunto de simulações no ambiente MATLAB/Simulink, a partir das quais constatou-se que o controlador robusto projetado apresentou um desempenho um pouco superior ao do PI, tanto no controle da velocidade quanto em relação a tolerar as falhas de queda de tensão.
This paper presents a three phase induction motor analysis, one of the most used machines in industries applications, and also shows different speed control methods for this kind of machine. At first a study about the IM (induction motor) was made without any control technique, and then an analysis of the classic and well known methods is presented, as well as an analysis of a robust controller, in order to replace the classic controllers by this one and achieve better performance. The chosen robust controller was a Variable Structure Controller with Sliding Mode. This paper focus is the study of the Indirect Vector Control with Rotor Orientation, which was used along a classic controller (PI – Proportional Integral) and the above proposed robust controller, in order to make a balance between both considering several operational conditions, including parameters variation and a particular fault (voltage drops on the motor terminals). All the analysis culminated in a set of simulations on the MATLAB/Simulink ambient, from which it was observed that the proposed robust controller showed a better performance than the PI, both on the speed control and the voltage drops faults tolerance.
Esteves, Lucas Mangili. "Acionamento de motor de indução trifásico, sujeito a falhas, utilizando controle com estrutura variável e modos deslizantes /". Ilha Solteira, 2017. http://hdl.handle.net/11449/148779.
Texto completoResumo: Este trabalho apresenta uma análise do motor de indução trifásico (MIT), que é um dos motores mais utilizados em aplicações industriais, e de diferentes metodologias de controle de velocidade aplicadas para este tipo de motor. A princípio realizou-se um estudo do funcionamento do MIT sem nenhum tipo de controle, para somente depois analisar-se tanto técnicas clássicas e já bastante difundidas no controle deste tipo de máquina como também um tipo específico de controlador robusto, a fim de utilizá-lo para substituir os controladores clássicos na intenção de obter-se um desempenho superior. O controlador robusto escolhido foi do tipo com Estrutura Variável e Modos Deslizantes (CEV-MD). Este trabalho foca no estudo do Controle Vetorial Indireto com Orientação sobre o Fluxo do Rotor, sendo utilizados juntamente deste método um controlador clássico (do tipo PI, Proporcional Integral) e o controlador robusto projetado (do tipo CEV-MD), no intuito de realizar-se uma comparação entre o desempenho dos dois controladores mediante diferentes condições de operação, incluindo-se variação de parâmetros do motor e falhas de queda de tensão nos terminais da máquina. Todos os estudos e projetos resultaram em um conjunto de simulações no ambiente MATLAB/Simulink, a partir das quais constatou-se que o controlador robusto projetado apresentou um desempenho um pouco superior ao do PI, tanto no controle da velocidade quanto em relação a tolerar as falhas de queda de tensão.
Mestre
Baccherini, Simona. "Pattern recognition methods for EMG prosthetic control". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12033/.
Texto completoTrigui, Rochdi. "Motorisation asynchrone pour véhicules électriques : modélisation, optimisation et évaluation". Vandoeuvre-les-Nancy, INPL, 1997. http://www.theses.fr/1997INPL064N.
Texto completoFredrik, Ljungberg. "Lane Change Intent Analysis for Preceding Vehicles : a Study Using Various Machine Learning Techniques". Thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139835.
Texto completoChi, Song. "Position-sensorless control of permanent magnet synchronous machines over wide speed range". Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1186974583.
Texto completoNorberg, Johan. "Large Scale Terrain Modelling for Autonomous Mining". Thesis, Linköpings universitet, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57334.
Texto completoBodin, Camilla. "Automatic Flight Maneuver Identification Using Machine Learning Methods". Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165844.
Texto completoKingravi, Hassan. "Reduced-set models for improving the training and execution speed of kernel methods". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51799.
Texto completoMalik, Naveed ur Rehman. "Modelling, Analysis, and Control Aspects of a Rotating Power Electronic Brushless Doubly-Fed Induction Generator". Doctoral thesis, KTH, Elektrisk energiomvandling, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174349.
Texto completoQC 20151006
Vahedi, Abolfazl. "Modélisation et caractérisation des machines synchro-reluctantes saturées par des méthodes numériques". Vandoeuvre-les-Nancy, INPL, 1996. http://www.theses.fr/1996INPL074N.
Texto completoChapuis, Yves André. "Controle direct du couple d'une machine asynchrone par l'orientation de son flux statorique". Grenoble INPG, 1996. http://www.theses.fr/1996INPG0006.
Texto completoNordfors, Per. "Prediction of Code Lifetime". Thesis, Linköpings universitet, Statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135060.
Texto completoOuriagli, Mohammed. "Contribution à la synthèse de commandes robustes pour machines synchrones à aimants permanents". Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL136N.
Texto completoCarmona, Sanchez Jesus. "A smart adaptive load for power-frequency support applications". Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/a-smart-adaptive-load-for-powerfrequency-support-applications(043dde9b-b753-4a6a-9c41-4c93b34681f9).html.
Texto completoGaeta, Alberto. "Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives". Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/996.
Texto completoQueiroz, Francisco Canind? Holanda de. "Controle vetorial de velocidade de um motor de indu??o trif?sico com estima??o neural de fluxo". Universidade Federal do Rio Grande do Norte, 2008. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15193.
Texto completoCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
This work describes the study and the implementation of the speed control for a three-phase induction motor of 1,1 kW and 4 poles using the neural rotor flux estimation. The vector speed control operates together with the winding currents controller of the stator phasis. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed controls to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The main DSP recources used by the system are, respectively, the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system
Este trabalho descreve o estudo e a implementa??o de um controle vetorial de velocidade para um motor de indu??o trif?sico de 1.1 kW / 4 p?los utilizando estima??o neural de fluxo do rotor. O controle vetorial de velocidade opera em conjunto com o controle das correntes nos enrolamentos de cada fase do estator. A estima??o neural de fluxo aplicada ao controle vetorial de velocidade tem como objetivo compensar a depend?ncia dos estimadores convencionais em rela??o ?s varia??es nos par?metros da m?quina devido a aumentos de temperatura ou satura??o magn?tica do rotor. O sistema de controle implementado possibilita uma compara??o direta dos respectivos desempenhos de velocidade sob orienta??o do estimador neural em rela??o ao estimador convencional de fluxo. Todo o controle do sistema ? realizado por um programa desenvolvido em linguagem padr?o ANSI C. Os principais recursos do DSP utilizados pelo sistema s?o, respectivamente, os canais de convers?o A/D, as sa?das PWM e as interfaces paralela e serial RS-232, as quais s?o respons?veis, respectivamente, pela programa??o do DSP e a captura de dados atrav?s de um sistema de supervis?o
Pinto, Adriano Costa 1989. "Controle integrado de tensão e potência reativa através de aprendizado de máquina". [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259987.
Texto completoDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: A crescente demanda por energia elétrica, por vezes em ritmo mais acelerado que os investimentos em expansão das redes de distribuição, tem levado as distribuidoras a operarem próximo aos limites aceitáveis, o que torna toda a operação da rede mais complexa. Um dos desafios atuais é estabelecer um efetivo controle de tensão e potência reativa (Volt/var) na rede buscando melhorar o nível de operação e de eficiência energética da rede. Muitas propostas para encontrar a solução do problema partiram de uma abordagem de forma desacoplada: o controle de tensão e o controle de potência reativa foram resolvidos separadamente. Neste trabalho, porém, foram estudados métodos de solução do problema visando à segurança da operação e à otimização global dos recursos da rede de modo integrado, ou seja, considerando a dependência entre tensão e potência reativa. Na literatura, grande parte dos trabalhos reportam soluções baseadas em modelos elétricos da rede de distribuição. Os métodos estudados nessa dissertação são baseados em técnicas de aprendizado de máquina com o objetivo de construir um modelo capaz de utilizar apenas as medições de tensão e corrente provenientes dos medidores instalados ao longo da rede e obter o melhor despacho dos ajustes dos dispositivos de controle, sem a necessidade de um modelo elétrico do sistema. A grande vantagem de não depender dos dados e modelo elétrico do sistema está associada às imprecisões tipicamente existentes na base de dados elétricos das concessionárias de distribuição de energia elétrica. Neste contexto, primeiramente, propõe-se o uso de aprendizado por reforço, no qual o agente interage com a rede enquanto acumula experiência de operação dos controles. A implementação através do algoritmo Q-Learning permite a construção de um operador virtual da rede de distribuição a partir dos dados provenientes dos medidores instalados em determinadas barras do sistema, dos quais é extraído o estado corrente da condição de carregamento da rede. Os principais aspectos da aplicação do método ao problema de controle integrado de tensão e potência reativa são simulados em redes típicas e as capacidades de aplicação prática ao cenário atual do sistema elétrico são discutidas. Em uma segunda etapa, propõe-se utilizar um algoritmo de aprendizado supervisionado através de Máquinas de Vetores de Suporte (em inglês, Support Vector Machine ¿ SVM), uma técnica eficientemente aplicada a problemas de mineração de dados. O modelo é implementado através de técnicas de classificação, que extraem características relevantes nos conjuntos de dados, a fim de otimizar a operação da rede para cada condição de carregamento, eliminando a necessidade de repetir o treinamento do modelo ou calcular uma nova solução do problema de otimização a cada novo cenário. Discute-se o desempenho do método baseado em SVM para diferentes características de entrada. Investiga-se ainda a generalização do modelo proposto na presença de ruídos nos dados e no caso de reconfiguração da rede. Estudos em sistemas típicos de distribuição mostram que o método proposto é eficiente na solução de problemas práticos do dia-a-dia das concessionárias, principalmente em ambientes com grande volume de dados
Abstract: The growing demand for electricity, sometimes at a faster rate than investments in distribution network expansion, has led utilities operating close to acceptable limits, which makes the network operation more complex. One of current challenges is to establish an effective voltage and reactive power control, improving the operation as well as the efficiency of the distribution network. There are many methods reported to find a solutions for the voltage and reactive power problem. Most of them have adopted a decoupled form, solving the voltage control and reactive power (Volt/var) control separately. However, in this work, methods for the problem solution aiming the operation safety and the global assets optimization are approached in an integrated fashion, i. e., considering the dependence between voltage and reactive power. Most papers reports solution based on electrical models of distribution network. In this dissertation, the methods studied are based on machine learning techniques aiming to build a model with directly power meter data using capability, and set optimal dispatch of controls devices adjustments, without the need of an electrical model of the system and, therefore, not susceptible to inaccuracies of the model of the distribution network under study. Firstly, it proposes a reinforcement learning use, in which the agent interacts with the network while earns control operating experience. The implementation, thought de Q-Learning algorithm allows a construction of a distribution network virtual operation from data obtained from the meters installed on buses. From the meter data, is extracted the current state of the network loading condition. The main aspects of the application of the method to the integrated voltage and reactive power control are simulated in a typical network and the possibilities of practical application in the current scenario of the electrical system are discussed. In a second step, an algorithm for supervised learning via the Support Vector Machine (SVM), a technique applied efficiently to problems in data mining is proposed. The model is implemented by classification techniques, extracting relevant features in the data sets from the power meters in order to optimize the operation of the network for each loading condition. Thus it eliminates the need to retraining model or calculating a new optimization problem solution for each new scenario. Discusses the performance based on different features for SVM model input. Also the generalization capabilities of the proposed model in the presence of noise and in the case of network reconfiguration are studied. Studies in typical distribution systems show that proposed method is a good candidate to solve the practical problem of the system, especially in large networks with large amounts of data
Mestrado
Energia Eletrica
Mestre em Engenharia Elétrica
Payn, Martin. "Flux vector control of asynchronous machines". Thesis, University of Surrey, 1991. http://epubs.surrey.ac.uk/844608/.
Texto completoArab, Khaburi Davood. "Contribution à la commande vectorielle des machines synchrones à aimants permanents sans utilisation des capteurs mécaniques". Vandoeuvre-les-Nancy, INPL, 1998. http://www.theses.fr/1998INPL125N.
Texto completoPaiva, Jos? Alvaro de. "Controle vetorial de velocidade de uma m?quina de indu??o sem mancais trif?sica com bobinado dividido utilizando estima??o neural de fluxo". Universidade Federal do Rio Grande do Norte, 2007. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15115.
Texto completoConselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
This work describes the study and the implementation of the vector speed control for a three-phase Bearingless induction machine with divided winding of 4 poles and 1,1 kW using the neural rotor flux estimation. The vector speed control operates together with the radial positioning controllers and with the winding currents controllers of the stator phases. For the radial positioning, the forces controlled by the internal machine magnetic fields are used. For the radial forces optimization , a special rotor winding with independent circuits which allows a low rotational torque influence was used. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed and radial positioning controllers to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The DSP resources used by the system are: the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system
Este trabalho descreve o estudo e a implementa??o do controle vetorial de velocidade de uma m?quina de indu??o sem mancais trif?sica com bobinado dividido de 4 p?los e 1.1kW utilizando estima??o neural de fluxo do rotor. O controle vetorial de velocidade opera em conjunto com os controles de posicionamento radial e das correntes nos enrolamentos de cada fase do estator. Para o posicionamento radial utilizam-se as for?as controladas pelos campos magn?ticos no interior da m?quina. Para a otimiza??o das for?as radiais operando com influ?ncia m?nima do torque rotacional, foi utilizado um modelo especial de bobinado do rotor com circuitos independentes. A estima??o neural de fluxo aplicada ao controle vetorial de velocidade tem o objetivo de compensar a depend?ncia dos estimadores convencionais em rela??o ?s varia??es nos par?metros da m?quina devido a aumentos de temperatura ou satura??o magn?tica do rotor. O sistema de controle implementado possibilita uma compara??o direta dos respectivos desempenhos de velocidade e posi??o radial da m?quina sob orienta??o do estimador neural em rela??o ao estimador convencional de fluxo. Todo o controle do sistema ? realizado por um programa desenvolvido em linguagem padr?o ANSI C. Os recursos do DSP utilizados pelo sistema s?o: os canais de convers?o A/D, as sa?das PWM e as interfaces paralela e serial RS-232, as quais s?o respons?veis, respectivamente, pela programa??o do DSP e a captura de dados atrav?s de um sistema de supervis?o
Wade, Scott. "Parameter identification for vector controlled induction machines". Thesis, Heriot-Watt University, 1995. http://hdl.handle.net/10399/1311.
Texto completoFaidallah, Amer. "Contribution à l'identification et à la commande vectorielle des machines asynchrones". Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL014N.
Texto completoBala, Mokrane. "Contributions à l'amélioration de la loi de commande d'une machine électrique d'un compresseur de climatisation : réduction du nombre de capteurs de courant". Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPAST014.
Texto completoThis thesis work is part of the EDC (Electrical Driven Compressor) project, which aims to develop reliable, compact electric air conditioning compressors that comply with automotive standards and have low production costs. This thesis is made up of two parts. The first one is devoted to the elimination of phase current sensors and their replacement by a single current sensor at the DC bus level. This removal was performed with the help of an algorithm for the reconstruction of phase currents. The modification of the SVPWM control law by an analytical algorithm was made necessary in order to ensure the reconstruction of the phase currents over the entire operating range. Simulation and experimentation results have shown the good working of the phase current reconstruction algorithm using the modified SVPWM. The aim of the second part of this work was to reduce electromagnetic interference by control, using spread spectral techniques based on random PWM. The complexity of this part mainly concerned the adaptation of this method to our reconstruction algorithm based on the modified SVPWM. The simulation results and the experimental results showed good spectral spreading of the different harmonics of the phase currents and the output voltages of the inverter
Hrnčárek, Martin. "Moderní struktury řízení servosystémů se střídavými pohony". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218311.
Texto completoGhennam, Tarak. "Supervision d’une ferme éolienne pour son intégration dans la gestion d’un réseau électrique, Apports des convertisseurs multi niveaux au réglage des éoliennes à base de machine asynchrone à double alimentation". Thesis, Ecole centrale de Lille, 2011. http://www.theses.fr/2011ECLI0012/document.
Texto completoThis research work deals with two topics conditioning the large scale development of wind turbines into electrical grids. The first is devoted to the development of new algorithms for the control of Doubly Fed Induction Machine (DFIM) based wind energy conversion systems. Two direct current control strategies have been proposed and are based on the hysteresis square areas (HZCA) and hysteresis circular areas (HZCI). Both strategies apply an appropriate voltage vector to control the active and reactive powers delivered to the grid, and also, to balance the voltages of the inner DC bus converter. Simulation and experimental results show that the HZCI strategy is better than HZCA in terms of output voltage waveforms and harmonic contain.The second topic is dedicated to the active and reactive powers supervision in a wind farm in order to supply prescribed power references from the grid operator. This supervision is ensured by a centralized algorithm that distributes power references between wind turbines in a proportional way. These references are calculated according to the maximum production capacity of wind turbines. An analysis of the power flow in the DFIM based wind energy system has been made to identify the (P, Q) characteristic and to calculate limits in terms of reactive power compensation. The local power management of each wind system has been developed allowing the powers distribution between the stator of the DFIM and the grid side converter by considering several operating modes of the wind generator
Pahkasalo, Carolina y André Sollander. "Adaptive Energy Management Strategies for Series Hybrid Electric Wheel Loaders". Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166284.
Texto completoStival, Luiz Henrique Reis de Castilho. "Proposição de uma plataforma de acionamento do motor de indução monofásico para aplicação em lavadora de roupa". Universidade do Estado de Santa Catarina, 2010. http://tede.udesc.br/handle/handle/1905.
Texto completoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
The single-phase induction motor, in permanent split capacitor topology, is utilized on most of the clothes wash machines on Brazilian market. This configuration presents limitations on motor drive and on energy efficiency of the system. This work suggests a drive control method for the single-phase induction motor, aiming to deliver benefits on energy efficiency and improving motor drive. On this work, a mathematical model of the motor is derived to compare, through simulation, this proposal among different solutions. Then, the implementation of the proposal is done to gather experimental results. These results are compared to the results of the current control used on wash machines. The proposal achieved good advantages on dynamics response and system efficiency, although impacts the final cost of the solution.
O motor de indução monofásico, em sua topologia de capacitor permanente, é empregado na maioria das lavadoras de roupas do mercado nacional. Esta configuração apresenta limitações no acionamento do motor, e oferece uma limitada eficiência energética do sistema. Este trabalho propõe um método de controle do motor de indução monofásico que visa oferecer benefícios em termos da eficiência energética e melhoria do acionamento do motor quando utilizado em lavadoras de roupa. No trabalho, é levantado um modelo matemático do motor para que, através de simulação, possa ser realizado um estudo comparativo da solução proposta com outras soluções. Em seguida, se dá a implementação da proposta para obtenção de resultados práticos. Estes resultados são então comparados aos resultados do controle original utilizado em lavadoras de roupa. São alcançados benefícios na dinâmica e eficiência do sistema, porém com um impacto no custo final da solução.
Staines, Cyril Spiteri. "Sensorless position estimation in asymmetric induction machines". Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267588.
Texto completoLamine, Adoum. "Vector control of induction machines considering the stray load losses". Thesis, Liverpool John Moores University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436561.
Texto completoAfsharnia, Saeed. "Contrôle vectoriel des machines synchrones à aimants permanents : identification des paramètres et minimisation des ondulations de couple". Vandoeuvre-les-Nancy, INPL, 1995. http://docnum.univ-lorraine.fr/public/INPL_T_1995_AFSHARNIA_S.pdf.
Texto completoHolliday, Derrick Michael John. "On-line tests for parameter identification in cage induction machines". Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1344.
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