Open AccessRobust predictive current control of PWM rectifier under unbalanced and distorted network
Author(s) -
Zhang Yongchang,
Liu Xiang,
Li Bingyu,
Liu Jie
Publication year - 2021
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/pel2.12065
Subject(s) - pwm rectifier , control theory (sociology) , inductance , pulse width modulation , ripple , robustness (evolution) , model predictive control , harmonics , voltage , computer science , rectifier (neural networks) , engineering , artificial neural network , control (management) , electrical engineering , biochemistry , chemistry , stochastic neural network , artificial intelligence , machine learning , recurrent neural network , gene
Model predictive current control has been proposed for the control of a pulse width modulation (PWM) rectifier due to its simple principle, and quick response. Model predictive current control achieves good performance for ideal grid voltages when an accurate inductance value is known. However, the actual grid voltages are usually unbalanced, and distorted, and the inductance used in the controller may be different from the real value due to saturation, temperature, and so on. In these conditions, the performance of a PWM rectifier deteriorates significantly due to the current harmonics, and power ripples. To cope with distorted grid voltages and inductance variations, this paper proposes a robust predictive current control for a PWM rectifier, which can achieve sinusoidal grid currents, and a constant active power even under an unbalanced and distorted network. The robustness against an inductance variation is achieved by using an extended state observer based on an ultra‐local model of the system. The current reference is calculated based on the principle of active power ripple elimination and then is tracked by predictive control. The presented experimental results prove that the proposed robust predictive current control scheme achieves good performance under a distorted network even with an inaccurate inductance value.