Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic

This paper proposes the use of a 3-level Cascaded H-Bridge Multilevel Inverter (CHMI) topology which results in further torque ripple minimization compared to the 2-level inverter-based Direct Torque Control (DTC). This is due to the increase in the inverter switching voltage vectors that allows min...

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Main Authors: Mortezaei, A., Ahmad Azli, Naziha, Nik Idris, Nik Rumzi, Mahmoodi, S., Mohamad Nordin, Norjulia
Format: Book Section
Published: IEEE Explorer 2011
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Online Access:http://eprints.utm.my/id/eprint/28992/
http://dx.doi.org/10.1109/IAPEC.2011.5779862
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spelling my.utm.289922017-02-04T08:35:57Z http://eprints.utm.my/id/eprint/28992/ Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic Mortezaei, A. Ahmad Azli, Naziha Nik Idris, Nik Rumzi Mahmoodi, S. Mohamad Nordin, Norjulia TK Electrical engineering. Electronics Nuclear engineering This paper proposes the use of a 3-level Cascaded H-Bridge Multilevel Inverter (CHMI) topology which results in further torque ripple minimization compared to the 2-level inverter-based Direct Torque Control (DTC). This is due to the increase in the inverter switching voltage vectors that allows minimization of the torque error. This in turn can reduce the Total Harmonic Distortion (THD) of the output voltage and current as well. This paper also presents two different control methods in selecting the appropriate output voltage vector for reducing the torque and flux error to zero. The first is based on the conventional DTC scheme using a pair of hysteresis comparators and look-up table to select the output voltage vector for controlling the torque and flux. The second is based on a new fuzzy logic controller (FLC) with Sugeno as its inference method to select the output voltage vector by replacing the hysteresis comparators and look-up table in the conventional DTC scheme. The latter has solved the problem of variable switching frequency which is the main characteristic of the former. By using FLC DTC not only the flux ripples reduce significantly but also the THD of the phase current decreases since a more sinusoidal current waveform is achieved. The simulation results have proven that by using the 3-level CHMI, torque ripple reduction is obtained compared to the 2-level inverter-based DTC while fuzzy DTC shows reduction in the stator flux ripples and the THD of the phase current. IEEE Explorer 2011 Book Section PeerReviewed Mortezaei, A. and Ahmad Azli, Naziha and Nik Idris, Nik Rumzi and Mahmoodi, S. and Mohamad Nordin, Norjulia (2011) Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic. In: 2011 IEEE Applied Power Electronics Colloquium, IAPEC 2011. IEEE Explorer, pp. 116-121. ISBN 978-145770008-8 http://dx.doi.org/10.1109/IAPEC.2011.5779862 10.1109/IAPEC.2011.5779862
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mortezaei, A.
Ahmad Azli, Naziha
Nik Idris, Nik Rumzi
Mahmoodi, S.
Mohamad Nordin, Norjulia
Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
description This paper proposes the use of a 3-level Cascaded H-Bridge Multilevel Inverter (CHMI) topology which results in further torque ripple minimization compared to the 2-level inverter-based Direct Torque Control (DTC). This is due to the increase in the inverter switching voltage vectors that allows minimization of the torque error. This in turn can reduce the Total Harmonic Distortion (THD) of the output voltage and current as well. This paper also presents two different control methods in selecting the appropriate output voltage vector for reducing the torque and flux error to zero. The first is based on the conventional DTC scheme using a pair of hysteresis comparators and look-up table to select the output voltage vector for controlling the torque and flux. The second is based on a new fuzzy logic controller (FLC) with Sugeno as its inference method to select the output voltage vector by replacing the hysteresis comparators and look-up table in the conventional DTC scheme. The latter has solved the problem of variable switching frequency which is the main characteristic of the former. By using FLC DTC not only the flux ripples reduce significantly but also the THD of the phase current decreases since a more sinusoidal current waveform is achieved. The simulation results have proven that by using the 3-level CHMI, torque ripple reduction is obtained compared to the 2-level inverter-based DTC while fuzzy DTC shows reduction in the stator flux ripples and the THD of the phase current.
format Book Section
author Mortezaei, A.
Ahmad Azli, Naziha
Nik Idris, Nik Rumzi
Mahmoodi, S.
Mohamad Nordin, Norjulia
author_facet Mortezaei, A.
Ahmad Azli, Naziha
Nik Idris, Nik Rumzi
Mahmoodi, S.
Mohamad Nordin, Norjulia
author_sort Mortezaei, A.
title Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
title_short Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
title_full Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
title_fullStr Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
title_full_unstemmed Direct torque control of induction machines utilizing 3-level cascaded H-bridge multilevel inverter and fuzzy logic
title_sort direct torque control of induction machines utilizing 3-level cascaded h-bridge multilevel inverter and fuzzy logic
publisher IEEE Explorer
publishDate 2011
url http://eprints.utm.my/id/eprint/28992/
http://dx.doi.org/10.1109/IAPEC.2011.5779862
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score 13.160551