Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers | Zendy

Ali Bechouche | Zendy; Hamid Seddiki | Zendy; Djaffar Ould Abdeslam | Zendy; Koussaila Mesbah | Zendy

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Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers

Author(s) -

Ali Bechouche,

Hamid Seddiki,

Djaffar Ould Abdeslam,

Koussaila Mesbah

Publication year - 2015

Publication title -

international journal of modelling identification and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.322

H-Index - 29

eISSN - 1746-6180

pISSN - 1746-6172

DOI - 10.1504/ijmic.2015.072985

Subject(s) - control theory (sociology) , rectifier (neural networks) , identification (biology) , nonlinear system , engineering , filter (signal processing) , voltage , controller (irrigation) , electronic engineering , three phase , adaptive filter , computer science , artificial neural network , control (management) , electrical engineering , physics , artificial intelligence , agronomy , botany , stochastic neural network , quantum mechanics , recurrent neural network , biology

International audienceThis paper proposes an adaptive voltage-oriented control (VOC) with onlineac filter parameters identification for three-phase voltage-source rectifier (VSR). A new methodbased on adaptive linear neuron (ADALINE) is first designed to identify the ac filter parameters.For accurate identification, the VSR nonlinearity is included in the ADALINE structure.Thereafter, the developed ADALINE is inserted in the VOC to realise an adaptive VOC. Thus,the decoupled terms and the proportional-integral current controller gains are updated online.Finally, the ADALINE ability to track properly the ac filter parameters is investigated byexperimental analysis. It shows that the VSR nonlinearity consideration has significant influenceon the resistance identification. Compared to the VOC, the enhancement of the proposedadaptive VOC is experimentally proved. The originality of this paper is the building of a VSRmodel including VSR nonlinearity that is suitable for implementation with ADALINE. This leadsto ease of implementation and accurate identification

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