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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Controle vetorial de velocidade de uma m?quina de indu??o sem mancais trif?sica com bobinado dividido utilizando estima??o neural de fluxo / Vector Speed Control for a Three-Phase Bearingless Induction Machine with Divided Winding using Neural Flux Estimation

Paiva, Jos? Alvaro de 07 December 2007 (has links)
Made available in DSpace on 2014-12-17T14:54:48Z (GMT). No. of bitstreams: 1 JoseAP.pdf: 3661698 bytes, checksum: ce1565573ad07f2677ac0b9d8cde09d8 (MD5) Previous issue date: 2007-12-07 / Conselho 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
2

Controle vetorial de velocidade de um motor de indu??o trif?sico com estima??o neural de fluxo

Queiroz, Francisco Canind? Holanda de 17 March 2008 (has links)
Made available in DSpace on 2014-12-17T14:55:05Z (GMT). No. of bitstreams: 1 FranciscoCHQ.pdf: 791868 bytes, checksum: bd94a6e450520ec9b64d043384db8ccb (MD5) Previous issue date: 2008-03-17 / Coordena??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

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