| Paper Type |
: |
Research Paper |
| Title |
: |
Rotor Position Estimation for a Switched Reluctance Machine
from Phase Flux Linkage |
| Country |
: |
India |
| Authors |
: |
D.Susitra , S.Paramasivam |
 |
: |
10.9790/1676-0320714  |
Abstract: This paper presents a rotor position estimation technique for a 6/4 switched reluctance machine
based on Adaptive Neuro fuzzy Inference System (ANFIS). This technique is applied for modelling the nonlinear
rotor position of SRM using the magnetization characteristics of the machine. ANFIS has a strong nonlinear
approximation ability which could be used for nonlinear modelling and its real time implementations. In this
paper, the best features of ANFIS is utilised to develop the computationally efficient rotor position model θ (I,ψ)
for SRM. Mathematical model for θ (I,ψ) using ANFIS has been successfully arrived, tested and presented for
various values of phase currents (Iph) and phase flux linkage(ψ) of a non linear SRM. It is observed that
ANFIS is highly suitable for rotor position θ (I,ψ) modelling of SRM which is tested to be in good agreement
with the training and checking data used for modelling
Keywords: Rotor position estimation model, Adaptive neuro-fuzzy inference system (ANFIS), Switched
reluctance machine (SRM), Phase flux linkage.
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