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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 5/2017

21.11.2015 | Original Article

ICA-based speed control of induction motor fed by wind turbine

verfasst von: E. S. Ali

Erschienen in: Neural Computing and Applications | Ausgabe 5/2017

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Abstract

This paper proposes the speed control of induction motor fed by wind turbine using Imperialist Competitive Algorithm (ICA). The wind turbine plays as a prime mover to a connected DC generator. Pulse-width modulation is used to get three-phase AC voltage from the output of DC generator. The proposed design problem of speed controller is established as an optimization problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of the proposed ICA has been estimated with the behavior of the conventional Ziegler–Nichols and genetic algorithm in order to prove the superiority of the proposed ICA in tuning PI controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm on the better behavior of the optimized PI controller based on ICA compared with other algorithms.
Vorheriger Artikel Sparse learning of maximum likelihood model for optimization of complex loss function
Nächster Artikel Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making

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Metadaten
Titel
ICA-based speed control of induction motor fed by wind turbine
verfasst von
E. S. Ali
Publikationsdatum
21.11.2015
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-015-2092-8

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