R-FL-C Model for Design Optimization of PM Generators

Arkadan,; Mneimneh, M.A.; Al-Aawar,

doi:10.1109/cefc-06.2006.1633264

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…A. Arkadan, et al, (2007) offered an innovative recursive fuzzy logic categorizing (R-FL-C) strategy for the PM generators design approach which is used to void the search space and to expel the local minima in the due course of the optimization process. Finite Element State Space models are used to explore the space database with the knowledge obtained off-line from them [214].…”

Section: Soft Computing Techniques-based Optimization Used Pmsgsmentioning

confidence: 99%

“…Arkadan, et al, (2007) offered an innovative recursive fuzzy logic categorizing (R-FL-C) strategy for the PM generators design approach which is used to void the search space and to expel the local minima in the due course of the optimization process. Finite Element State Space models are used to explore the space database with the knowledge obtained off-line from them [214]. Guoqiang Li, et al, (2012) to assess the numerical functional optimization, investigated an artificial bee colony algorithm (ABC) which derives its inspiration from the honey bee swarm's foraging behaviour, which is a classic epitome of biological-inspired optimization.…”

Section: Soft Computing Techniques-based Optimization Used Pmsgsmentioning

confidence: 99%

See 1 more Smart Citation

Conceptual Framework of Antecedents to Trends on Permanent Magnet Synchronous Generators for Wind Energy Conversion System

Padmanathan¹,

Uma²,

Ramachandaramurthy³

et al. 2017

Preprint

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Abstract:The Wind Energy Conversion System (WECS) plays an inevitable role across the world. In particular, the attention for Permanent Magnet Synchronous Generators (PMSGs) connected with wind farm is popular. This paper deals with the literature review that describes the recent advances, progresses and innovatory trends on PMSGs for WECS. Comparison between geared and direct-driven conversion systems and the classification of electrical machines used in WECS are discussed. A detailed analysis on the design aspects considering various topologies of PMSGs are encompassed in the literature. The PMSG design and optimization problems are solved by field computation techniques and optimized by using Soft Computing (SC) techniques .The threedimensional, finite element software platform for the analysis and design of PMSGs is discussed. This paper also deals with the interdisciplinary modeling, analysis, and optimization of PMSG using Finite Element Analysis (FEM) and SC techniques. Finally, PMSGs are reviewed and compared for further exploration.

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Section: Soft Computing Techniques-based Optimization Used Pmsgsmentioning

confidence: 99%