Open AccessReal‐time gating signal generation and performance analysis for fully controlled five‐phase, ten‐pulse, line‐commutated rectifier
Author(s) -
Masoud Mahmoud I.,
Saleem Ashraf,
AlAbri Rashid
Publication year - 2018
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2017.0587
Subject(s) - rectifier (neural networks) , three phase , pwm rectifier , generator (circuit theory) , voltage , electrical engineering , computer science , pulse width modulation , electronic engineering , power (physics) , engineering , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
Fossil fuel prices and air pollution impel many countries to concentrate on renewable energy sources, of which wind energy is considered to be a pillar. Owing to the numerous advantages when compared with its three‐phase counterpart, five‐phase direct‐drive permanent magnet (PM) generators are a key area of focus in power generation with renewable and wind energy systems. The generator output requires a converter, such as an AC–DC rectifier, to match load requirements. The objective of this work is to generate in real time the gating signals of a fully controlled five‐phase, line‐commutated rectifier, fed from a five‐phase PM generator. A mixed‐reality environment is used to implement the gating signal generation algorithm for the five‐phase rectifier, where the required gating signals are successfully generated, even with some distorted prototype generator voltage waveforms. The performance of the rectifier is investigated practically and validated by using the MATLAB/SIMULINK platform. Moreover, a comparison with a five‐phase pulse‐width modulated current source rectifier in terms of losses, size, weight, and cost is presented.