Engenharia Elétrica

URI Permanente desta comunidade

http://repositorio.ufes.br/handle/10/17617
Programa de Pós-Graduação em Engenharia Elétrica

Centro: CT
Telefone: (27) 4009 2663
URL do programa: https://engenhariaeletrica.ufes.br/pt-br/pos-graduacao/PPGEE

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Navegando Engenharia Elétrica por Assunto "Acionamento elétrico"

Agora exibindo 1 - 2 de 2
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    Otimização elétrica de uma ponte rolante utilizando controle vetorial com enfraquecimento de campo
    (Universidade Federal do Espírito Santo, 2018-03-28) Guedes, Cezar Rogério; Encarnação, Lucas Frizera; Santos, Walbermark Marques dos; Brunoro, Marcelo
    This study shows a steady state hoist crane electrical optimization application using a vector control frequency converter. Field weakening methodology was used because of oversizing normally used in cranes application. The methodology was confirmed by simulation with a generic machine operating in a large range of load and magnetization current. A typical application was chosen, in an auxiliary hoist at crane 51PR12 at Slab Conditioning Area on ArcelorMittal Tubarão. This crane is used to move metallic scrap bucket, resulted of steel slab scarfing process. Practical results were obtained confirming the methodology. Defined the optimal magnetization current reference to drive, in energy optimization point of view, based on operational work cycle and calculated the gain obtained. The operational work cycle consists to left an empty bucket at collecting position and takes it out when it is full. Isn’t possible to change dynamically this current reference (is a configuration parameter of drive), so was defined the optimal reference based calculation with this two loads and optimal magnetization current, merging this two characteristic movements.
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    Robotização de uma cadeira de rodas
    (Universidade Federal do Espírito Santo, 2011-09-29) Filgueira, Patrick Noé dos Santos; Bastos Filho, Teodiano Freire; Frizera Neto, Anselmo; Ferasoli Filho, Humberto
    In this work, it is developed a system of low-level control for a robotic wheelchair controlled by biological signals, including hardware (motor driver board) and software (firmware running on microcontroller). The goal is to support a high-level control system that captures, processes and interprets biological signals to control a robotic wheelchair. In this work a special focus is given to electronics, real-time operating system applied to robotic wheelchair and also low level controller applied to their. The control electronics of the wheelchair used an industrial communication network, the CAN network to support all application and control algorithms. All tasks implemented are managed by a realtime operating system. The low-level controller implemented allows independently control of the angular and linear speeds of the wheelchair. To achieve the objective proposed in this work, it was necessary to manipulate devices of power electronics, programming, algorithms, control and instrumentation, CAN network, real-time system, data storage and automatic control.