Speed neuro-fuzzy estimator applied to sensorless induction motor control
Nenhuma Miniatura disponível
Citações na Scopus
27
Tipo de produção
Artigo
Data
2012
Autores
Fabio Lima
KAISER, W.
SILVA, I. N.
OLIVEIRA, A. A.
KAISER, W.
SILVA, I. N.
OLIVEIRA, A. A.
Orientador
Periódico
IEEE Latin America Transactions
Título da Revista
ISSN da Revista
Título de Volume
Citação
LIMA, F. KAISE, W.; SILVA, I. N.; OLIVEIRA, A. A. Speed neuro-fuzzy estimator applied to sensorless induction motor control. IEEE Latin America Transactions, v. 10, n. 5, p. 2065-2073, 2012.
Texto completo (DOI)
Palavras-chave
Resumo
This work proposes the development of an Adaptive Neuro-fuzzy Inference System (ANFIS) estimator applied to speed control in a three-phase induction motor sensorless drive. Usually, ANFIS is used to replace the traditional PI controller in induction motor drives. The evaluation of the estimation capability of the ANFIS in a sensorless drive is one of the contributions of this work. The ANFIS speed estimator is validated in a magnetizing flux oriented control scheme, consisting in one more contribution. As an open-loop estimator, it is applied to moderate performance drives and it is not the proposal of this work to solve the low and zero speed estimation problems. Simulations to evaluate the performance of the estimator considering the vector drive system were done from the Matlab/Simulink software. To determine the benefits of the proposed model, a practical system was implemented using a voltage source inverter (VSI) to drive the motor and the vector control including the ANFIS estimator, which is carried out by the Real Time Toolbox from Matlab/Simulink software and a data acquisition card from National Instruments. © 2012 IEEE.