Adaptive Network-Based Fuzzy Inference approach of estimating of torque for 8∶6 Switched Reluctance Motor

Adaptive Network-Based Fuzzy Inference approach of estimating of torque for 8∶6 Switched Reluctance Motor

This paper presents a new formulation based on adaptive network-based fuzzy inference system(ANFIS) which has been applied to 8:6 switched reluctance motor(SRM).These developed adaptive network-based fuzzy inference system model is a approach to predicting torque of switched reluctance motor which a...

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Bibliographische Detailangaben
Hauptverfasser: Parvizi, A., Hassani, M., Mehbodnia, A.H., Makhilef, S., Tamjis, M.R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive systems
Equations
Fuzzy neural networks
Fuzzy systems
Mathematical model
Reluctance machines
Reluctance motors
Rotors
Torque
Voltage
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Beschreibung
Zusammenfassung:This paper presents a new formulation based on adaptive network-based fuzzy inference system(ANFIS) which has been applied to 8:6 switched reluctance motor(SRM).These developed adaptive network-based fuzzy inference system model is a approach to predicting torque of switched reluctance motor which are then tasted in Matlab environment. Error analyzing is also accomplished to verify the average percentage error for ANFIS model. Adaptive network-based fuzzy inference system approach is suitable for use in accurate predicting of torque of 8:6 configurations SRM.
DOI:10.1109/TECHPOS.2009.5412078