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Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor

Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor

Mohamed M. Ismail Ali, M. A. Moustafa Hassan
Copyright: © 2012 |Volume: 1 |Issue: 2 |Pages: 16
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781466615465|DOI: 10.4018/ijsda.2012040103
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MLA

Ali, Mohamed M. Ismail, and M. A. Moustafa Hassan. "Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor." IJSDA vol.1, no.2 2012: pp.28-43. http://doi.org/10.4018/ijsda.2012040103

APA

Ali, M. M. & Hassan, M. A. (2012). Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor. International Journal of System Dynamics Applications (IJSDA), 1(2), 28-43. http://doi.org/10.4018/ijsda.2012040103

Chicago

Ali, Mohamed M. Ismail, and M. A. Moustafa Hassan. "Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor," International Journal of System Dynamics Applications (IJSDA) 1, no.2: 28-43. http://doi.org/10.4018/ijsda.2012040103

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Abstract

The problem of controlling the p-model induction motor with magnetic saturation is considered in this paper. The motor parameters such that stator resistance Rs, rotor resistance Rr and load torque TL can be varied during the operation, many techniques are used for online identification of the motor parameters. In this paper, the authors use a new technique which is the Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique for online identification of the motor parameters. A simulation study is illustrated using MATLAB/Simulink depending on stator currents and speed measurements. All the unknown parameters are assumed constant or slowly varying and are estimated online by the controller. The proposed technique shows promising results.

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