Open AccessDESIGN AND IMPLEMENTATION OF PREDICTIVE CONTROLLERS ON THE RECTIFIER AND QUASI IMPEDANCESOURCE INVERTER IN A WIND ENERGY CONVERSION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR
Author(s) -
Hamed Javaheri Fard
Publication year - 2017
Publication title -
international journal on smart sensing and intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.171
H-Index - 27
ISSN - 1178-5608
DOI - 10.21307/ijssis-2017-220
Subject(s) - permanent magnet synchronous generator , rectifier (neural networks) , control theory (sociology) , inverter , model predictive control , engineering , voltage , matlab , generator (circuit theory) , control engineering , computer science , control (management) , electrical engineering , power (physics) , physics , quantum mechanics , recurrent neural network , machine learning , stochastic neural network , artificial neural network , operating system , artificial intelligence
Two controllers are proposed in this paper. These controllers have been designed and implemented on the rectifier and quasi impedance-source inverter (QZSI) in the wind energy conversion system based on permanent magnet synchronous generator (PMSG). Model based predictive control strategy (MBPC) has been used at the proposed design for both controllers. Control of parameters such as load current, inductor current and capacitor voltage are the major aim of design of predictive controllers; hence; two cost function (CF) are employed to realize this subject which in those exist objective controls. The MATLAB-simulation and experimental results show that the predictive controllers can be robust and effective in controlling the desired parameters.
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