An MRAS Based Estimation Method with Artificial Neural Networks for High Performance Induction Motor Drives and its Experimentation


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper presents an adaptive speed observer for an induction motor using an artificial neural network with a direct field-oriented control drive. The speed and rotor flux are estimated with the only assumption that from stator voltages and currents are measurable. The estimation algorithm uses a state observer combined with an intelligent adaptive mechanism based on an artificial neural network (ANN) to estimate rotor speed. The speed is estimated by a simple Proportional-Integrator (PI) controller, which reduces sensitivity to variations, due essentially to the influence of temperature. The proposed sensorless control scheme is tested for various operating conditions of the induction motor drive. Simulation and experimental results demonstrate a good robustness against load torque disturbances, the estimated components of the stator currents and rotor speed converge to their true values, which guarantees that a precise trajectory tracking with the prescribed dynamics.
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Field Oriented Control; Induction Motor Drive; Artificial Neural Network; MRAS Based Estimation; Sensorless Drive

Full Text:

PDF


References


Cherifi, D., Miloud, Y., Tahri, A., New fuzzy luenberger observer for performance evaluation of a sensorless induction motor drive, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 381-392.

M. G. Shady, D. Giaouris and J. W. Finch, “A Neural Network Based Stator Current MRAS Observer for Speed Sensorless Induction Motor Drives,” IEEE 2008.

B. Karanayil, M. F. Rahman, and C. Grantham, "Online Stator and rotor resistance estimation scheme using artificial neural networks for vector controlled speed sensorless induction motor drives," IEEE Transactions on Industrial Electronics, vol. 54: pp. 167-176, 2007.

Shady M. Gadoue, Damian Giaouris, and John W. Finch, Senior Member, IEEE “Sensorless Control of Induction Motor Drives at Very Low and Zero Speeds Using Neural Network Flux Observers IEEE Transactions on Industrial Electronics, Vol. 56, (Issue 8), August 2009.

Chenafa, M., Bouhenna, A., Mansouri, A., Valera, A., Robust adaptive observer in the direct field oriented control of induction motor with stator and rotor resistance estimation, (2010) International Review on Modelling and Simulations (IREMOS), 3 (5), pp. 775-783.

Q. Gao, C. S. Staines, G. M. Asher, and M. Sumner, "Sensorless speed operation of cage induction motor using zero drift feedback integration with MRAS observer," in Proc. European Conference on Power Electronics and Applications, 2005.

Nandhini Gayathri, M., Himavathi, S., Sankaran, R., Comparison of Neural Learning Algorithm based on-line MRAS Rotor Resistance Estimator using Rotor Flux (NLRF-MRAS) and Reactive Power (NLRP-MRAS) for field oriented control of induction motor drive, (2012) International Review on Modelling and Simulations (IREMOS), 5 (3), pp. 1239-1253.

Lalalou, R., Bahi, T., Bouzekri, H., Sensorless indirect vector controlled induction motor using fuzzy logic control of speed estimation and stator resistance adaptation, (2010) International Review on Modelling and Simulations (IREMOS), 3 (3), pp. 325-330.

D. Fodor, J. P. Six, and D. Diana, “Neural networks applied for induction motor speed sensorless estimation,” in Proc. ISIE’95: pp. 181–186, 1995.

S.K.Mondal, J.O.P.Pinto and B.K. Bose, "A neural network based space vector PWM controller for a three voltage fed inviter induction motor drive," IEEE Trans.Ind.Appl. vol. 30. (Issue 3): pp 660-669, May 2002.

Karanayil M. Rahman M.F. and Grantham C. "Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive" IEEE Transactions on Industrial Electronics, vol. 54: (Issue 1), Feb 2007.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize