Yazar "Bogosyan, Seta" seçeneğine göre listele

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    Experimental evaluation of braided EKF for sensorless control of induction motors
    (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008) Barut, Murat; Bogosyan, Seta; Gokasan, Metin
    Temperature- and frequency-dependent variations of the rotor (R-r') and stator (R-s) resistances pose a challenge in the accurate estimation of flux and velocity in the sensorless control of induction motors (IMs) over a wide speed range. Solutions have been sought to the problem by signal injection and/or by the use of different algorithms for the different parameters and states of the same motor. In this paper, a novel Extended -Kalman-Filter (EKF)-based estimation technique is developed for the solution of the problem based on the consecutive operation of two EKF algorithms at every time step. The proposed "braided" EKF technique is experimentally tested under challenging parameter and load variations in a wide speed range, including low speed. The results demonstrate a significantly increased accuracy in the estimation of R-s and R-r', as well as load torque, flux, and velocity in transient and steady state, when compared with single EKFs or other approaches taken to estimate these parameters and states in the sensorless control of IMs. The improved results also motivate the utilization of the new estimation approach in combination with a variety of control methods which depend on accurate knowledge of a high number of parameters and states.
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    Sensorless sliding mode position control of induction motors using braided extended kalman filters
    (IEEE, 2007) Barut, Murat; Bogosyan, Seta
    This study is aimed at designing a sensorless sliding mode position control system for the rotor flux oriented Direct Vector Control (DVC) strategy of induction motors (IMs). For this purpose, a novel sliding mode controller (SMC) with reduced-chattering is designed for the control of the flux and angular position of the motor. All the states required for DVC in addition to the step-shaped load torque, stator resistance and rotor resistance are estimated using Braided EKF based observers. The performance of the new SMC is compared against a previously developed chattering-free SMC scheme. The simulation results demonstrate an improved robustness in the system response against parameter and load variations. It has also been demonstrated that the new Braided EKF technique used in the proposed sliding mode position control system also increases estimation accuracy of estimations when compared with chattering-free SMC under challenging variations of 100% in the load and stator & rotor resistance.