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

Gutierrez-Villalobos JM, Rodriguez-Resendiz J, Rivas-Araiza EA, Martínez-Hernández MA - Sensors (Basel) (2015)

Bottom Line: 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 Article: PubMed Central - PubMed

Affiliation: Laboratorio de Mecatrónica, Universidad Autónoma de Querétaro, Cerro de las Campanas, Col. Las Campanas, S/N, Queretaro 76010, Mexico. marcelino.gutierrez@uaq.mx.

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.

No MeSH data available.


(a) Estimated Rrvs. Desired Rr; (b) Estimated ωrvs. Desired ωr; (c) Zoom to the velocity.
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sensors-15-15311-f009: (a) Estimated Rrvs. Desired Rr; (b) Estimated ωrvs. Desired ωr; (c) Zoom to the velocity.

Mentions: As it can be observed in Figure 9, ωr and Rr value vary at speed changes because the currents and the magnetic fluxes are changed depending on IM electric demand, affecting the controller function. Never the less, the proposed algorithm updates these parameters and introduces them to the FOC scheme and improves driver performance. But, at constant speeds, resistance and speed values keep almost at the same value. Figure 9a shows the Rr and Figure 9b presents speed estimation respectively, finally, Figure 9c presents a zoom applied to the speed estimation.


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

Gutierrez-Villalobos JM, Rodriguez-Resendiz J, Rivas-Araiza EA, Martínez-Hernández MA - Sensors (Basel) (2015)

(a) Estimated Rrvs. Desired Rr; (b) Estimated ωrvs. Desired ωr; (c) Zoom to the velocity.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541832&req=5

sensors-15-15311-f009: (a) Estimated Rrvs. Desired Rr; (b) Estimated ωrvs. Desired ωr; (c) Zoom to the velocity.
Mentions: As it can be observed in Figure 9, ωr and Rr value vary at speed changes because the currents and the magnetic fluxes are changed depending on IM electric demand, affecting the controller function. Never the less, the proposed algorithm updates these parameters and introduces them to the FOC scheme and improves driver performance. But, at constant speeds, resistance and speed values keep almost at the same value. Figure 9a shows the Rr and Figure 9b presents speed estimation respectively, finally, Figure 9c presents a zoom applied to the speed estimation.

Bottom Line: 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 Article: PubMed Central - PubMed

Affiliation: Laboratorio de Mecatrónica, Universidad Autónoma de Querétaro, Cerro de las Campanas, Col. Las Campanas, S/N, Queretaro 76010, Mexico. marcelino.gutierrez@uaq.mx.

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.

No MeSH data available.