An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application-Reference-Cited by-同舟云学术

An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application

Published:2018-03-19 Issue:6 Volume:140 Page:
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Aymen Flah¹,Novak Martin²,Lassaad Sbita³

Affiliation:

1. Photovoltaic, Wind and Geothermal Unit, National School of Engineering of Gabès, University of Gabès, Gabès 6072, Tunisia e-mail:

2. Department of Instrumentation and Control Engineering, Faculty of Mechanical Engineering, Czech Technical University Prague 166 07, Czech Republic e-mail:

3. Photovoltaic, Wind and Geothermal Unit, National School of Engineering of Gabès, Tunisia University of Gabès, Gabès 6072, Tunisia e-mail:

Abstract

This paper presents an improved speed estimator for a permanent magnet synchronous motor (PMSM). It focuses on hybrid electric vehicles (HEVs). 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 100 kW, 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.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/doi/10.1115/1.4039212/6127202/ds_140_06_061016.pdf

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