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Research Papers

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

[+] Author and Article Information
Flah Aymen

Photovoltaic, Wind and Geothermal Unit,
National School of Engineering of Gabès,
University of Gabès,
Gabès 6072, Tunisia
e-mail: flahaymening@yahoo.fr

Martin Novak

Department of Instrumentation and
Control Engineering,
Faculty of Mechanical Engineering,
Czech Technical University
Prague 166 07, Czech Republic
e-mail: martin.novak@fs.cvut.cz

Sbita Lassaad

Photovoltaic, Wind and Geothermal Unit,
National School of Engineering of Gabès,
Tunisia University of Gabès,
Gabès 6072, Tunisia
e-mail: sbita.lassaad@enig.rnu.tn

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received September 3, 2017; final manuscript received January 20, 2018; published online March 19, 2018. Assoc. Editor: Mahdi Shahbakhti.

J. Dyn. Sys., Meas., Control 140(6), 061016 (Mar 19, 2018) (8 pages) Paper No: DS-17-1440; doi: 10.1115/1.4039212 History: Received September 03, 2017; Revised January 20, 2018

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.

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References

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Figures

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Fig. 5

Photo of the used equipment and material

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Fig. 4

Nyquist plot for 1000 and 5000 rpm

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Fig. 3

The overall Q-MRAS algorithm tuned by the PSO

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Fig. 10

Measured and calculated PMSM speed, using PSO Q-MRAS estimator at acceleration phase: (a) at acceleration phase to the maximum speed zone and (b) at acceleration phase under the nominal speed

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Fig. 6

PSO results as fitness function costs and the related particles positions

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Fig. 11

Stator voltage as Vd and Vq

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Fig. 12

Stator current as Id and Iq

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Fig. 13

Reactive power—experiment (Ref-Q) and calculation (EQ)

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Fig. 14

Measured and calculated PMSM speed, using PSO Q-MRAS estimator at deceleration phase

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Fig. 7

Stator voltage as Vd and Vq

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Fig. 8

Stator current as Id and Iq

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Fig. 15

Real and calculated PMSM Speed, using Ziegler Nichols method

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Fig. 9

Reactive power—experiment (EQ) and calculation (Ref-Q)

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Fig. 16

(a) UN/ECE elementary driving cycle—measured Id, Iq, Vd, Vq and (b) UN/ECE elementary driving cycle—measured speed

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Fig. 17

UN/ECE elementary driving cycle—with Q-MRAS estimator and robustness demonstration

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