Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Phase Permanent Magnet Synchronous Motor


Unscented Kalman Estimator for Estimating the State of Two-phase Permanent Magnet Synchronous Motor

Ayad Qasim Hussein

Engineering and Technology Journal, 2010, Volume 28, Issue 15, Pages 5071-5078

This paper presents the unscented Kalman filters (UKF) for estimating the states (winding currents, rotor speed and rotor angular position) of two-phase Permanent Magnet Synchronous Motor (PMSM). The UKF is based on firstly specifying a minimal set of carefully chosen sample points. These sample points completely capture the true mean and covariance of the Gaussian Random Variable (GRV), and when propagated through the true nonlinear system (motor model), capture the posterior mean and covariance accurately to the second order (Taylor series expansion). The results showed that the UK estimator could successively estimate the states of PMSM without need any Jacobian matrix.

Numerical Study of Forced Convection in Wavy and Diverged-Converged Ducts

Anmar M. Basheer; Sattar J. Habeeb; Waheed S. Mohamad; Qutaiba G. Majeed; Mohammed Y. Fattah; Jawad K.Oleiwi; Mohammed S. Hamza; Mayyadah Sh. Abed; Amjed J. Hamidi; Ahmed Alaa Ogla; Yaser Nabeel Ibrahem

Engineering and Technology Journal, 2009, Volume 27, Issue 7, Pages 1385-1403

A three-dimensional study of developing fluid flow and heat transfer through
wavy and diverged-converged ducts were studied numerically for a Prandlt number 0.7
and 5.85 and compared with flow through corresponding straight duct. The Navier-
Stokes and energy equations are solved by using control finite volume method.
Development of the Nusselt number in wavy and diverged-converged ducts are
presented for different flow rates (50

Keywords

forced convection
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numerical study
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wavy duct
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diverged-converged duct

State Estimation of Two-Phase Permanent Magnet Synchronous Motor

Amjed J. Hamidi; Ahmed Alaa Ogla; Yaser Nabeel Ibrahem

Engineering and Technology Journal, 2009, Volume 27, Issue 7, Pages 1435-1443

The goal of this paper is to estimate the states of two-phase permanent magnet synchronous
motor (PMSM). The system is highly nonlinear and one therefore cannot directly use any linear
system tools for estimation. However, if one can linearize the system around a nominal
(possibly time-varying) operating point then linear system tools could be used for control and
estimation. Firstly, the error covariance matrices of measurement and process would be derived
when the system inputs and outputs are subjected to uncertain variations. Then, the corruptednoise
nonlinear model of the system will be discretized and extended to be suitable for applying
standard discrete Kalman filter (KF) for state estimation purpose. The entire state estimated
system has been modeled using MATLAB/SIMULINK blocks. The state estimation algorithm
and the motor discretized model are coded inside special S-functions of m-file type.