Controle inteligente de um sistema de usinagem acionado por motor de indução trifásico

• Ano de defesa: 2014
• Autor(a) principal: Júlio, élida Fernanda Xavier
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraí­ba; BR; Engenharia Mecânica; Programa de Pós-Graduação em Engenharia Mecânica; UFPB
• Palavras-chave em Português: Controle de posição; Controle da velocidade de avanço; Conjugado eletromagnético estimado; Máquina fresadora; Position control; Feedrate control; Estimated electromagnetic torque; Milling machine; ENGENHARIAS::ENGENHARIA MECANICA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/5377

In this paper, a control strategy is presented to control the position and feedrate of the table of a milling machine driven by three-phase induction motor for machining pieces consisting of different types of materials: steel, brass and nylon. In the development of the control strategy, it was applied the technique of vector control to drive three-phase induction machines. The motor electromagnetic torque estimation was used to determine the feedrate for the machining of each type of material. The speed control was developed using fuzzy logic model Takagi-Sugeno and the electromagnetic torque estimation using neural network type LMS algorithm. The induction motor was powered by a three-phase voltage inverter, driven by a digital signal processor (DSP). This processor was programmed to generate the pulse width modulation (PWM), perform signals acquisition of voltage, current and position, and implement the control strategy of the system. Simulated and experimental results are presented.