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Energies 2017, 10(8), 1077; doi:10.3390/en10081077

Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

1
Department of Electrical and Electronics Engineering, MITS (Madanapalle Institute of Technology and Science), Madanapalle 517325, AP, India
2
School of Electrical Engineering, VIT University—Chennai Campus, Chennai 600 048, India
3
Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa
4
Faculty of Engineering, Østfold University College, Kobberslagerstredet 5, 1671 Kråkeroy, Norway
*
Author to whom correspondence should be addressed.
Academic Editor: Sergio Saponara
Received: 5 May 2017 / Revised: 30 June 2017 / Accepted: 3 July 2017 / Published: 25 July 2017

Abstract

The purpose of this work is to present an adaptive sliding mode Luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. In addition, the effects of parameter detuning on the speed convergence are observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in the Simulink environment. Then, the Simulink model is integrated with real-time (RT)-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model. View Full-Text
Keywords: state estimation; model reference; sliding mode; adaptive; parameter detuning state estimation; model reference; sliding mode; adaptive; parameter detuning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Krishna S., M.; Daya J.L., F.; Padmanaban, S.; Mihet-Popa, L. Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications. Energies 2017, 10, 1077.

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