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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.


Complete system scheme used to test and validate the algorithm and testbench to simulate different load resistances.
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sensors-15-15311-f006: Complete system scheme used to test and validate the algorithm and testbench to simulate different load resistances.

Mentions: The servo amplifier is connected to a National Instruments (NI) data acquisition board (DAQ) by means of an USB connection, then a human-machine interface (HMI) in LabVIEW is implemented to monitor and control variable torque applied to the AC motor. A load form 0 to 2.5 N·m can be emulated by this system. A FUTEK shaft-to-shaft rotary torque sensor (TRS300) is used to measure the mechanical torque applied to the AC motor, and its signal is connected to an NI DAQ to create the load control system as shown in Figure 6. There were three speeds applied: low speed (LS) at 10% of nominal RPM value, medium speed (MS) at 50% and high speed (HS) at 90%.


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)

Complete system scheme used to test and validate the algorithm and testbench to simulate different load resistances.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-15311-f006: Complete system scheme used to test and validate the algorithm and testbench to simulate different load resistances.
Mentions: The servo amplifier is connected to a National Instruments (NI) data acquisition board (DAQ) by means of an USB connection, then a human-machine interface (HMI) in LabVIEW is implemented to monitor and control variable torque applied to the AC motor. A load form 0 to 2.5 N·m can be emulated by this system. A FUTEK shaft-to-shaft rotary torque sensor (TRS300) is used to measure the mechanical torque applied to the AC motor, and its signal is connected to an NI DAQ to create the load control system as shown in Figure 6. There were three speeds applied: low speed (LS) at 10% of nominal RPM value, medium speed (MS) at 50% and high speed (HS) at 90%.

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.