Accurate rotor position estimation for switched reluctance motor using ANFIS

Author

Paramasivam, S. ; Arumugan, R. ; Umamaheswari, B. ; Vijayan, S. ; Balamurugan, S. ; Venkatesan, G.

Author_Institution

Sch. of Electr. & Electron. Eng., Anna Univ., Chennai, India

Volume

4

fYear

2003

fDate

15-17 Oct. 2003

Firstpage

1493

Abstract

An efficient operation of the switched reluctance motor (SRM) can be achieved only by proper estimation of the rotor position. The rotor position information in switched reluctance motor (SRM) drives is essential for determining the switching instants for proper control of speed, torque and torque pulsations. Several sensorless control methods of rotor position estimation are available for SRM drives. Among them the flux-current method is mostly used to estimate the rotor position. In this paper, the rotor position estimation at standstill and during running conditions of a 6/4-pole SRM involving flux current method using adaptive network fuzzy inference system (ANFIS) is presented.

Keywords

fuzzy systems; inference mechanisms; machine control; position control; reluctance motor drives; rotors; torque control; adaptive network fuzzy inference system; flux-current; rotor position estimation; speed control; switched reluctance motor drives; torque pulsations control; Adaptive systems; Couplings; Fuzzy neural networks; Fuzzy systems; Reluctance machines; Reluctance motors; Rotors; Sensorless control; Stators; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region

Print_ISBN

0-7803-8162-9

Type

conf

DOI

10.1109/TENCON.2003.1273168

Filename

1273168