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Sensors 2015, 15(7), 15311-15325; doi:10.3390/s150715311

Sensorless FOC Performance Improved with On-Line Speed and Rotor Resistance Estimator Based on an Artificial Neural Network for an Induction Motor Drive

Laboratorio de Mecatrónica, Universidad Autónoma de Querétaro, Cerro de las Campanas, Col. Las Campanas, S/N, Queretaro 76010, Mexico
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 11 April 2015 / Revised: 12 June 2015 / Accepted: 23 June 2015 / Published: 29 June 2015
(This article belongs to the Section Physical Sensors)
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Abstract

Three-phase induction motor drive requires high accuracy in high performance processes in industrial applications. Field oriented control, which is one of the most employed control schemes for induction motors, bases its function on the electrical parameter estimation coming from the motor. These parameters make an electrical machine driver work improperly, since these electrical parameter values change at low speeds, temperature changes, and especially with load and duty changes. The focus of this paper is the real-time and on-line electrical parameters with a CMAC-ADALINE block added in the standard FOC scheme to improve the IM driver performance and endure the driver and the induction motor lifetime. Two kinds of neural network structures are used; one to estimate rotor speed and the other one to estimate rotor resistance of an induction motor. View Full-Text
Keywords: adaptive system; neural networks; on-line identification; adjustable speed driver; parameter estimation; FOC adaptive system; neural networks; on-line identification; adjustable speed driver; parameter estimation; FOC
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gutierrez-Villalobos, J.M.; Rodriguez-Resendiz, J.; Rivas-Araiza, E.A.; Martínez-Hernández, M.A. Sensorless FOC Performance Improved with On-Line Speed and Rotor Resistance Estimator Based on an Artificial Neural Network for an Induction Motor Drive. Sensors 2015, 15, 15311-15325.

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