Hierarchical neuro-fuzzy current control for a shunt active power filter

Autor:	M. Ugras Cuma, K. Cagatay Bayindir, Mehmet Tumay
Přispěvatelé:	Çukurova Üniversitesi
Rok vydání:	2006
Předmět:	Adaptive neuro fuzzy inference system Neuro-fuzzy Artificial neural network Computer science Neuro-fuzzy control Fuzzy control system Fuzzy logic Power (physics) Hierarchical fuzzy control Artificial Intelligence Control theory Filter (video) Harmonic ANFIS Active power filter Software
Zdroj:	Neural Computing and Applications. 15:223-238
ISSN:	1433-3058 0941-0643
DOI:	10.1007/s00521-005-0024-8
Popis:	This paper presents the design of a hierarchical neuro-fuzzy current control scheme for a shunt active power filter compared with a single fuzzy controller scheme. A single fuzzy controller scheme is presented first and an ANFIS based neuro-fuzzy controller is connected hierarchically to the first one to improve the performance. Simulation results show that harmonic compensation is achieved with both schemes, however switching performance is superior for hierarchical scheme. The method of switching controller development in this paper is new and can be applied to other power electronic converter applications for improved performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fad788e57e9c265fc3dc5eeb3c95f82 https://doi.org/10.1007/s00521-005-0024-8 Zobrazit plný text záznamu Plný text ve formátu PDF