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Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter

This article aims to improve the performance of the deadbeat (DB) predictive controller for a three-level neutral point clamped (NPC) inverter. The effect of the number of effective vectors considered for the cost function evaluation on steady-state and dynamic performance is investigated. To do tha...

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Main Authors: Bekhoucha, Nassima, Kermadi, Mostefa, Mesbahi, Nadhir, Mekhilef, Saad
Format: Article
Published: IEEE-Inst Electrical Electronics Engineers Inc 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/33390/
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spelling my.um.eprints.333902022-08-21T03:21:57Z http://eprints.um.edu.my/33390/ Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter Bekhoucha, Nassima Kermadi, Mostefa Mesbahi, Nadhir Mekhilef, Saad TA Engineering (General). Civil engineering (General) This article aims to improve the performance of the deadbeat (DB) predictive controller for a three-level neutral point clamped (NPC) inverter. The effect of the number of effective vectors considered for the cost function evaluation on steady-state and dynamic performance is investigated. To do that, three DB predictive controllers with different numbers of effective vectors, namely, 19 vectors-based, six vectors-based, and three vectors-based DB, are compared beside the conventional current-based model predictive control (MPC). The neutral-point (NP) voltage is balanced using the redundant vectors. Simulations and experimental tests are performed to evaluate the performance of the competing MPC algorithms in terms of four main criteria, namely: NP voltage balancing error, total harmonic distortion (THD), the computational effort required, average switching frequency, power loss, and sensitivity to parameters mismatch. Compared to conventional MPC, the experimental results show that the three vectors-based DB predictive controller has the best steady-state and dynamic performance with a reduction of computational burden up to 60% and a reduction of the current THD up to 72%. IEEE-Inst Electrical Electronics Engineers Inc 2022-02 Article PeerReviewed Bekhoucha, Nassima and Kermadi, Mostefa and Mesbahi, Nadhir and Mekhilef, Saad (2022) Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10 (1). pp. 1165-1177. ISSN 2168-6777, DOI https://doi.org/10.1109/JESTPE.2021.3092057 <https://doi.org/10.1109/JESTPE.2021.3092057>. (In Press) 10.1109/JESTPE.2021.3092057
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Bekhoucha, Nassima
Kermadi, Mostefa
Mesbahi, Nadhir
Mekhilef, Saad
Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
description This article aims to improve the performance of the deadbeat (DB) predictive controller for a three-level neutral point clamped (NPC) inverter. The effect of the number of effective vectors considered for the cost function evaluation on steady-state and dynamic performance is investigated. To do that, three DB predictive controllers with different numbers of effective vectors, namely, 19 vectors-based, six vectors-based, and three vectors-based DB, are compared beside the conventional current-based model predictive control (MPC). The neutral-point (NP) voltage is balanced using the redundant vectors. Simulations and experimental tests are performed to evaluate the performance of the competing MPC algorithms in terms of four main criteria, namely: NP voltage balancing error, total harmonic distortion (THD), the computational effort required, average switching frequency, power loss, and sensitivity to parameters mismatch. Compared to conventional MPC, the experimental results show that the three vectors-based DB predictive controller has the best steady-state and dynamic performance with a reduction of computational burden up to 60% and a reduction of the current THD up to 72%.
format Article
author Bekhoucha, Nassima
Kermadi, Mostefa
Mesbahi, Nadhir
Mekhilef, Saad
author_facet Bekhoucha, Nassima
Kermadi, Mostefa
Mesbahi, Nadhir
Mekhilef, Saad
author_sort Bekhoucha, Nassima
title Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
title_short Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
title_full Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
title_fullStr Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
title_full_unstemmed Performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
title_sort performance investigation of deadbeat predictive controllers for three-level neutral point clamped inverter
publisher IEEE-Inst Electrical Electronics Engineers Inc
publishDate 2022
url http://eprints.um.edu.my/33390/
_version_ 1744649152344621056
score 13.211869

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