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Anirban Ghoshal
Researcher at National University of Singapore
Publications - 18
Citations - 255
Anirban Ghoshal is an academic researcher from National University of Singapore. The author has contributed to research in topics: Inverter & Electrolytic capacitor. The author has an hindex of 7, co-authored 17 publications receiving 229 citations. Previous affiliations of Anirban Ghoshal include Indian Institute of Science & Indian Institute of Technology Dhanbad.
Papers
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A Method to Improve PLL Performance Under Abnormal Grid Conditions
Anirban Ghoshal,Vinod John +1 more
TL;DR: In this paper, a method to obtain accurate phase information when the grid voltages are unbalanced by adding a moving average filter to a synchronous reference frame (SRF) PLL has been proposed.
Anti-windup Schemes for Proportional Integral and Proportional Resonant Controller
Anirban Ghoshal,Vinod John +1 more
TL;DR: In this article, a few anti-windup schemes are proposed and implemented in FPGA and MATLAB and from the obtained results their possible use and limitations have been studied.
Journal ArticleDOI
Active damping of LCL filter at low switching to resonance frequency ratio
Anirban Ghoshal,Vinod John +1 more
TL;DR: In this article, a resonant integrator (RI) based second order filter (RISF) has been proposed for AD of LCL filter resonance for stable operation at low switching frequency to resonance frequency ratio.
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Hybrid-Modulation-Based Bidirectional Electrolytic Capacitor-Less Three-Phase Inverter for Fuel Cell Vehicles: Analysis, Design, and Experimental Results
TL;DR: In this paper, a novel hybrid modulation scheme consisting of six-pulse modulation at LF scale and modified secondary modulation and 33% pulse width modulation at high-frequency (HF) scale is proposed.
Journal Article
Performance evaluation of three phase SRF-PLL and MAF-SRF-PLL
Anirban Ghoshal,Vinod John +1 more
TL;DR: The performance of a MAF-SRF-PLL structure is evaluated in terms of unit vector distortion and settling time under various nonideal grid conditions and it is observed that faster and better performance are achieved at the expense of more computations.