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Alireza Bakhshai

Researcher at Queen's University

Publications -  312
Citations -  7688

Alireza Bakhshai is an academic researcher from Queen's University. The author has contributed to research in topics: Converters & Control theory. The author has an hindex of 46, co-authored 307 publications receiving 6765 citations. Previous affiliations of Alireza Bakhshai include Honeywell & Queen's University Belfast.

Papers
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Journal ArticleDOI

Addressing DC Component in PLL and Notch Filter Algorithms

TL;DR: In this paper, the dc component in the input signal of the phase-locked loop (PLL) and notch filter algorithms applied to filtering and synchronization applications is addressed, based on adding a new loop inside the PLL structure.
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An adaptive notch filter for frequency estimation of a periodic signal

TL;DR: This note presents an alternative stability analysis for a modified ANF that permits the presence of harmonics in the incoming signal and this stability analysis is simpler and alleviates the problem complexity even in the case of pure sinusoidal signal.
Journal ArticleDOI

A Novel ZVZCS Full-Bridge DC/DC Converter Used for Electric Vehicles

TL;DR: In this article, a ZVZCS full-bridge DC/DC converter is proposed to process and deliver power efficiently over very wide load variations, where the voltage across the output diode bridge is clamped to avoid any adverse voltage overshoots arising during turn-off of the output diodes as commonly found in regular full bridge converters.
Journal ArticleDOI

A Fast and Accurate Synchronization Technique for Extraction of Symmetrical Components

TL;DR: In this article, an adaptive notch filter is proposed for real-time extraction of the frequency, phase angle, and symmetrical components of the grid signal, which is of great importance for many applications in power systems such as power quality and protection.
Journal ArticleDOI

Problems of Startup and Phase Jumps in PLL Systems

TL;DR: In this paper, an adaptive phase-locked loop (PLL) structure is proposed which offers fast and smooth tracking of phase-angle jumps, and adjusts the gain of frequency estimation loop in order to mitigate large transients of frequency during sudden phase angle variations.