Title :
Adaptive Network-Based Fuzzy Inference approach of estimating of torque for 8∶6 Switched Reluctance Motor
Author :
Parvizi, Amin ; Hassani, Mehdi ; Mehbodnia, Amir Hossein ; Makhilef, Saad ; Tamjis, M.R.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
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.
Keywords :
electric machine analysis computing; error analysis; fuzzy reasoning; reluctance motors; torque; ANFIS; Matlab; SRM; adaptive network-based fuzzy inference system; error analysis; switched reluctance motor; torque estimation; Adaptive systems; Equations; Fuzzy neural networks; Fuzzy systems; Mathematical model; Reluctance machines; Reluctance motors; Rotors; Torque; Voltage;
Conference_Titel :
Technical Postgraduates (TECHPOS), 2009 International Conference for
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5223-1
Electronic_ISBN :
978-1-4244-5224-8
DOI :
10.1109/TECHPOS.2009.5412078
