1 resultado para wind power production
em Universidade Federal de Uberlândia
Filtro por publicador
- Aberdeen University (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (14)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (11)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (2)
- Archive of European Integration (5)
- Aston University Research Archive (32)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (57)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (7)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CaltechTHESIS (1)
- CentAUR: Central Archive University of Reading - UK (39)
- Cochin University of Science & Technology (CUSAT), India (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (16)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (8)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (10)
- Digital Archives@Colby (5)
- Digital Commons - Michigan Tech (10)
- Digital Commons @ DU | University of Denver Research (4)
- Digital Commons at Florida International University (4)
- Digital Peer Publishing (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (137)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Galway Mayo Institute of Technology, Ireland (4)
- Glasgow Theses Service (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institutional Repository of Leibniz University Hannover (2)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (46)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (11)
- Laboratório Nacional de Energia e Geologia - Portugal (6)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (52)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (13)
- Repositório Científico da Universidade de Évora - Portugal (20)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (62)
- Repositório da Produção Científica e Intelectual da Unicamp (26)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (56)
- Repositorio Institucional Universidad de Medellín (1)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (2)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (9)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Scielo Saúde Pública - SP (6)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (64)
- Universidade Complutense de Madrid (2)
- Universidade do Minho (8)
- Universidade dos Açores - Portugal (2)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (18)
- Universidade Metodista de São Paulo (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (10)
- Université de Lausanne, Switzerland (6)
- Université de Montréal, Canada (8)
- University of Michigan (36)
- University of Queensland eSpace - Australia (7)
- University of Washington (2)
- WestminsterResearch - UK (1)
Resumo:
Variable reluctance motors have been increasingly used as an alternative for variable speed and high speed drives in many industrial applications, due to many advantages like the simplicity of construction, robustness, and low cost. The most common applications in recent years are related to aeronautics, electric and hybrid vehicles and wind power generation. This paper explores the theory, operation, design procedures and analysis of a variable reluctance machine. An iterative design methodology is introduced and used to design a 1.25 kW prototype. For the analysis of the machine two methods are used, an analytical method and the finite element simulation. The results obtained by both methods are compared. The results of finite element simulation are used to determine the inductance profiles and torque of the prototype. The magnetic saturation is examined visually and numerically in four critical points of the machine. The data collected in the simulation allow the verification of design and operating limits for the prototype. Moreover, the behavior of the output quantities is analyzed (inductance, torque and magnetic saturation) by variation of physical dimensions of the motor. Finally, a multiobjective optimization using Differential Evolution algorithms and Genetic Algorithms for switched reluctance machine design is proposed. The optimized variables are rotor and stator polar arcs, and the goals are to maximize the average torque, the average torque per copper losses and the average torque per core volume. Finally, the initial design and optimized design are compared.