Adaptive Network-Based Fuzzy Inference approach of estimating of torque for 8&amp;#x2236;6 Switched Reluctance Motor

Amin Parvizi,Mehdi Hassani,Amir Hossein Mehbodnia,M.R Tamjis,Saad Makhilef

doi:10.1109/techpos.2009.5412078

Adaptive Network-Based Fuzzy Inference approach of estimating of torque for 8&#x2236;6 Switched Reluctance Motor

Amin Parvizi, Mehdi Hassani + Show 3 more

https://doi.org/10.1109/techpos.2009.5412078

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Publication Date: Dec 1, 2009

Citations: 6

Affiliation: University of Malaya

#Adaptive Network-based Fuzzy Inference System #Network-based Fuzzy Inference System Model + Show 8 more

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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.

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