Fuzzy logic based MRAS for sensorless induction motor drive

Author

Salem, Z.M. ; Khater, M.M. ; Kalilah, S.A. ; Mahmoud, S.A.

Author_Institution

Electr. Eng. Dept., Minoufiya Univ., Shebin EI-Kom, Egypt

Volume

2

fYear

2006

fDate

19-21 Dec. 2006

Firstpage

427

Lastpage

433

Abstract

This paper presents a modified method for estimating rotor speed of an indirect vector-controlled induction motor drive using fuzzy logic (FL) technique. The proposed method is based on model reference adaptive control that uses the stator current and rotor flux as state variables for estimating the speed. In this method, the stator current error is represented as a function of first degree of the estimated speed error. This error is reduced using FL based controller. An analysis and simulation of the proposed algorithm is developed and implemented using a TMS320C31 floating-point Digital Signal Processor (DSP). Simulation and experimental results are presented.

Keywords

angular velocity control; fuzzy control; induction motor drives; model reference adaptive control systems; sensorless machine control; floating-point digital signal processor; fuzzy logic based controller; model reference adaptive control system; rotor flux; rotor speed estimation; state variables; stator current error; vector-controlled sensorless induction motor drive; Adaptive control; Algorithm design and analysis; Analytical models; Error correction; Fuzzy logic; Induction motor drives; Rotors; Signal analysis; State estimation; Stators; Fuzzy logic control; Identification; Induction motor; Observers; Sensorless control; Vector control; modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East

Conference_Location

El-Minia

Print_ISBN

978-1-4244-5111-1

Type

conf

Filename

5372448