Phase Current Reconstruction Using a Single Current Sensor of Three-Phase AC Motors Fed by SVM-Controlled Direct Matrix Converters

Metidji, Brahim; Taib, Nabil; Baghli, Lotfi; Rekioua, Toufik; Bacha, Seddik

doi:10.1109/tie.2012.2232252

Cited by 32 publications

(17 citation statements)

References 34 publications

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“…The algorithm should discover inherent structures among the data. The Kmeans, PAM (partitions around medoids), or hierarchical clustering are the typical unsupervised algorithms, which learn the global behaviors of the data among the available observations (Mitchell 1997;Bishop 2006;Witten et al 2011;Marsland 2009;Drew and John 2012;Metidji et al 2013).…”

Section: Chronology Of the Existing Methods For Real Time Object Detementioning

confidence: 99%

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

Benabderrahmane

2017

Int J Intell Robot Appl

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Artificial vision in robotics involves real time detection of objects for fast decision making. Such intelligent systems require efficient algorithms and big learning database of examples for producing robust classifiers. Several methods of objects detection and tracking have been proposed in the literature. However, even though the detection rates have been improved, the processing time and the complexity of the models still representing a key challenge. In this paper, we present a real time object detection and tracking framework based on Adaboost classification, where a strong classifier is generated using an iterative combination of weak learners. This method is based on the use of discriminative features by analyzing different regions of the input image. Instead of performing a full traversal in the entire search space of all possible visual features, we propose to use intelligent heuristics for accelerating time processing and extracting relevant features in the image that lead to a best detection rate. The meta-heuristics involve the use of genetic algorithms, particle swarm optimization, random walk and a novel hybrid combination of these methods. The obtained results, in a case of intelligent transportation system, have shown considerable improvements in term of computation time, efficiency and accuracy.

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Section: Chronology Of the Existing Methods For Real Time Object Detementioning

confidence: 99%

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

Benabderrahmane

2017

Int J Intell Robot Appl

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“…To reduce cost and volume, as well as to increase reliability in hostile environment [16], technical trends move towards driving power converts with fewer sensors or without sensors. Research to reconstruct three-phase currents using single current sensors, especially in motor drive systems, has been undertaken [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, in [24,25], a novel phase current reconstruction technology is used in the switched reluctance motor (SRM) drive and sensorless control. The single current sensor is also used to reconstruct the phase currents in direct matrix converters (DMC) [26,27]. There are nine power switches in the DMC, which increase the cost and volume compared with the three-phase pulse width modulation voltage source inverter.…”

Section: Introductionmentioning

confidence: 99%

A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive

Yan

Zou

2016

Energies

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Three-phase permanent-magnet synchronous motors (PMSMs) are widely used in renewable energy applications such as wind power generation, tidal energy and electric vehicles owing to their merits such as high efficiency, high precision and high reliability. To reduce the cost and volume of the drive system, techniques of reconstructing three-phase current using a single current sensor have been reported for three-phase alternating current (AC) control system using the power converts. In existing studies, the reconstruction precision is largely influenced by reconstructing dead zones on the Space Vector Pulse Width Modulation (SVPWM) plane, which requires other algorithms to compensate either by modifying PWM modulation or by phase-shifting of the PWM signal. In this paper, a novel extended phase current reconstruction approach for PMSM drive is proposed. Six novel installation positions are obtained by analyzing the sampling results of the current paths between each two power switches. By arranging the single current sensor at these positions, the single current sensor is sampled during zero voltage vectors (ZVV) without modifying the PWM signals. This proposed method can reconstruct the three-phase currents without any complex algorithms and is available in the sector boundary region and low modulation region. Finally, this method is validated by experiments.

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“…The control methods under the overmodulation mode with only a dc-link current sensor for PWM-inverter-fed interior PMSM drives are investigated in details in [25]. A novel method for IM phase current reconstruction is presented with a single Hall-effect current sensor in three-phase direct matrix converter drive system using space vector modulation control technique [26], [27]. In [28], the waveform error that is present in line current signals, which are reconstructed in IM drives using a single dc-link shunt, is analyzed.…”

Section: Introductionmentioning

confidence: 99%

Phase Current Reconstruction of Switched Reluctance Motors From DC-Link Current Under Double High-Frequency Pulses Injection

Gan

Yang

et al. 2015

IEEE Trans. Ind. Electron.

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Abstract-Switched reluctance motors (SRMs) have been considered as low-cost machines for electric vehicle (EV) and hybrid electric vehicle (HEV) applications. However, the current sensors used in the system will not only increase the cost and volume, but also degrade the running reliability of the motor drives. Conventionally, the current sensors are used in each phase winding individually to obtain these phase currents. To reduce the number of current sensors, a four-phase 8/6-pole SRM is applied to analyze the working states and a novel phase current reconstruction method from the dc-link current employing double high frequency pulses injection is then proposed. Two kinds of high frequency pulses with large dutycycles and phase-shift are injected to the down-switches in each phase respectively when the phase currents are overlapped in the turn-on region, and the dc-link current is decomposed to reconstruct phase currents in both current chopping control (CCC) system and single pulse control (SPC) system. The transient performance in a closed-loop system based on the phase current reconstruction scheme is investigated. The proposed method uses only one current sensor in the dc-link and requires no additional circuits. The simulation and experimental results are presented to confirm the implementation of the proposed method.Index Terms-Switched reluctance motor (SRM), electric vehicle (EV), phase current reconstruction, high frequency pulses injection, single current sensor, dc-link current.

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Phase Current Reconstruction Using a Single Current Sensor of Three-Phase AC Motors Fed by SVM-Controlled Direct Matrix Converters

Cited by 32 publications

References 34 publications

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers

A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive

Phase Current Reconstruction of Switched Reluctance Motors From DC-Link Current Under Double High-Frequency Pulses Injection

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