Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zaatar Makni"'
Autor:
Zaatar Makni, Kamel Bouallaga
Publikováno v:
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2015, Vol. 34, Issue 6, pp. 1673-1686.
Autor:
Antoine Bruyere, L. Idkhajine, Bruno Condamin, Eric Monmasson, Wided Zine, Zaatar Makni, Pierre-Alexandre Chauvenet
Publikováno v:
IET Electric Power Applications. 12:347-356
The study proposes a parameter optimisation of the high-frequency (HF) signal injection sensorless algorithm applied to an interior permanent magnet synchronous machine (IPMSM). The latter is intended for electric vehicle (EV) traction applications w
Publikováno v:
2017 IEEE Vehicle Power and Propulsion Conference (VPPC).
Autor:
Kamel Bouallaga, Zaatar Makni
Publikováno v:
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 34:1673-1686
Purpose– The starting hesitation of a switched reluctance motor (SRM) is an issue which must be considered in the early motor design. It is mostly handled as a control concern. The starting procedure of a SRM using a single Hall-effect position sen
Publikováno v:
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2017, pp.1-1. ⟨10.1109/TII.2017.2765398⟩
IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2017, pp.1-1. ⟨10.1109/TII.2017.2765398⟩
In this paper, a novel rotor position estimator for an interior permanent magnet synchronous motor is presented and evaluated. The proposed estimator lies on one of the most popular methods in the field of artificial intelligence: Machine learning-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cf79d88f81a2793053a0f5fe31d80d
https://hal.archives-ouvertes.fr/hal-01651732
https://hal.archives-ouvertes.fr/hal-01651732
Autor:
Richard Demersseman, Zaatar Makni
Publikováno v:
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 33:1653-1664
Purpose – The purpose of this paper is to present an optimal sizing methodology. It is applied to a foil-coil powder core power inductor used in new generation inverters designed for hybrid and full-electric vehicles. The methodology includes a pre
Autor:
Wided Zine, Zaatar Makni
Publikováno v:
IECON
As considered in this study, machine learning is a field of artificial intelligence which provides computation algorithms without explicit programming. The calculation rules are learned from a set of data that associates the inputs to the outputs. Ma
Publikováno v:
IEEE Transactions on Vehicular Technology. 56:1524-1530
The contribution of powerful numerical calculation methods in the design procedure of electrical actuators is usually restricted to the analysis of structures with known geometric dimensions. This paper describes a computer-aided design tool with a m
Publikováno v:
IEEE Transactions on Energy Conversion
IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2015, 30 (1), pp.82-89. ⟨10.1109/TEC.2014.2331080⟩
IEEE Transactions on Energy Conversion, 2015, 30 (1), pp.82-89. ⟨10.1109/TEC.2014.2331080⟩
IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2015, 30 (1), pp.82-89. ⟨10.1109/TEC.2014.2331080⟩
IEEE Transactions on Energy Conversion, 2015, 30 (1), pp.82-89. ⟨10.1109/TEC.2014.2331080⟩
International audience; This paper describes a sensorless control for a high-performance permanent-magnet synchronous machine (PMSM) drive. A differential algebraic approach is used to estimate the position (and speed). The relationship thus obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::096a74e3d2e195ea36ad5c2a93f03c44
https://hal.archives-ouvertes.fr/hal-01099335
https://hal.archives-ouvertes.fr/hal-01099335
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 19:391-394