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research-article

An improved reactive power MRAS speed estimator with optimization for a HEV application

[+] Author and Article Information
Flah Aymen

Photovoltaic, wind and geothermal unit, National school of engineering of Gabès, Tunisia, University of Gabès, Tunisia, National school of engineering of Gabès 6072, Tunisia, University of Gabès, Tunisia
flahaymening@yahoo.fr

Martin Novak

Department of Instrumentation and Control Engineering, Faculty of Mechanical, Engineering, Czech Technical University in Prague, Czech Republic, Department of Instrumentation and Control Engineering, Faculty of Mechanical, Engineering, Czech Technical University in Prague, Technicka 4, 166 07 Praha 6, Czech Republic
martin.novak@fs.cvut.cz

Sbita Lassaad

Photovoltaic, wind and geothermal unit National school of engineering of Gabès, Tunisia, University of Gabès, Tunisia, National school of engineering of Gabès 6072, Tunisia, University of Gabès, Tunisia
sbita.lassaad@enig.rnu.tn

1Corresponding author.

ASME doi:10.1115/1.4039212 History: Received September 03, 2017; Revised January 20, 2018

Abstract

The paper presents an improved speed estimator for a permanent magnet synchronous motor (PMSM). It focuses on Hybrid Electric Vehicles (HEV). The speed estimator is based on reactive power Model Reference Adaptive System (Q-MRAS). The MRAS parameters are tuned using Particle Swarm Optimization (PSO) algorithms. The proposed method has been experimentally verified with a 100kW, 5000 RPM PMSM and a good agreement between the measured speed and the estimated speed is found. It is shown that the proposed method is able to handle the transition into the flux weakening mode without any problem.

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