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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Estimation of Load Torque and Rotor Speed in Single-Phase Induction Motor Using EKF Ali Monadi; Mohammad Jannati; Tole Sutikno; Nik Rumzi Nik Idris
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper presents a novel method for estimation of load torque and rotor speed in single-phase Induction Motor (IM) with two asymmetrical windings by using Extended Kalman Filter (EKF). Normally, for estimation of load torque and rotor speed in IM, six state variables namely stator currents, rotor fluxes, rotor speed and load torque, are considered. This paper shows by considering five state variables, estimation of these parameters is possible. Simulation results show the good performance of the presented method. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7592
An Exact Model for Rotor Field-Oriented Control of Single-Phase Induction Motors Mohammad Jannati; Ali Monadi; Sajad A. Anbaran; Nik Rumzi Nik Idris; Mohd Junaidi Abdul Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5110-5120

Abstract

This work presents a new Rotor Field-Oriented Control (RFOC) technique for single-phase Induction Motors (IMs). The proposed method uses two rotational transformations, which extract from the steady-state equivalent circuit of single-phase IM. It is proved by using proposed rotational transformations, the single-phase IM asymmetrical equations change into symmetrical equations. In the proposed technique, the assumption of (Mq/Md)2=Lqs/Lds=a2 which is usually used in other FOC of single-phase IMs, is not considered. Performance of the proposed technique is assessed using MATLAB/SIMULINK. Extensive simulation results show the performance and correctness of the proposed method.