Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor

Andrej Burakov; Asmo Tenhunen; Antero Arkkio

Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor

Andrej Burakov, Asmo Tenhunen, Antero Arkkio

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	English
Title of host publication	8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005
Pages	electronic publication
Publication status	Published - 2005
MoE publication type	A4 Conference publication

Keywords

eccentric rotor
genetic algorithm
parameter estimation
synchronous machine

Cite this

Burakov, A., Tenhunen, A., & Arkkio, A. (2005). Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor. In 8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005 (pp. electronic publication)

Burakov, Andrej ; Tenhunen, Asmo ; Arkkio, Antero. / Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor. 8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005. 2005. pp. electronic publication

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title = "Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor",

keywords = "eccentric rotor, genetic algorithm, parameter estimation, synchronous machine, eccentric rotor, genetic algorithm, parameter estimation, synchronous machine, eccentric rotor, genetic algorithm, parameter estimation, synchronous machine",

author = "Andrej Burakov and Asmo Tenhunen and Antero Arkkio",

year = "2005",

language = "English",

pages = "electronic publication",

booktitle = "8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005",

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Burakov, A, Tenhunen, A & Arkkio, A 2005, Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor. in 8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005. pp. electronic publication.

Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor. / Burakov, Andrej; Tenhunen, Asmo; Arkkio, Antero.
8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005. 2005. p. electronic publication.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Applying genetic algorithms to identify the parameters of a low-order force model for a salient-pole synchronous machine with eccentric rotor

AU - Burakov, Andrej

AU - Tenhunen, Asmo

AU - Arkkio, Antero

PY - 2005

Y1 - 2005

KW - eccentric rotor

KW - genetic algorithm

KW - parameter estimation

KW - synchronous machine

KW - eccentric rotor

KW - genetic algorithm

KW - parameter estimation

KW - synchronous machine

KW - eccentric rotor

KW - genetic algorithm

KW - parameter estimation

KW - synchronous machine

M3 - Conference article in proceedings

SP - electronic publication

BT - 8th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems, (ELECTRIMACS 2005), Hammamet, Tunis, 17. - 20.4.2005

ER -