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Farid Meibody-Tabar

Researcher at University of Lorraine

Publications -  22
Citations -  441

Farid Meibody-Tabar is an academic researcher from University of Lorraine. The author has contributed to research in topics: Inverter & Voltage. The author has an hindex of 11, co-authored 22 publications receiving 344 citations. Previous affiliations of Farid Meibody-Tabar include École Normale Supérieure.

Papers
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Journal ArticleDOI

Hybrid maximum power point tracking algorithm with improved dynamic performance

TL;DR: The overall complexity is decreased by simplifying the fuzzy logic part and the three-point weight method is another MPPT method that does not compromise on the maximum power point under fast transient conditions.
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A Control Strategy for Electric Traction Systems Using a PM-Motor Fed by a Bidirectional $Z$-Source Inverter

TL;DR: This paper deals with a control method that adapts the dc bus voltage of electric traction systems using permanent-magnet synchronous machine (PMSM) fed by bidirectional Z-source inverter (ZSI) or other improved topologies and proposes flatness-based control to drive the actuator and generate the peak dc bus Voltage reference.
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Efficiency Improvement of a Quasi-Z-Source Inverter-Fed Permanent-Magnet Synchronous Machine-Based Electric Vehicle

TL;DR: In this paper, an improved control strategy for a quasi-Z-source inverter (QZSI)-fed permanent magnet synchronous machine (PMSM)-based electric vehicle is proposed.
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A Novel Quasi-Z-Source Inverter Topology With Special Coupled Inductors for Input Current Ripples Cancellation

TL;DR: In this article, the authors proposed an inductors coupling technique to cancel input current ripples of a quasi-Z-source inverter without adding any additional components, and the results have validated the proposed coupling strategy and show that it does not degrade the global efficiency of the system.
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Efficiency Optimization Through Current-Sharing for Paralleled DC–DC Boost Converters With Parameter Estimation

TL;DR: In this paper, a new current sharing technique on a general case of N paralleled DC-DC boost converters is presented, which is based on the knowledge of individual boost parameters every loss through the structure are modeled by equivalent resistors using an accurate online estimation of those resistors.