TY - GEN
T1 - Parameters identification of 11-phase Torus generator using Particle Swarm Optimization technique
AU - Al-Hinai, A.
AU - Al-Badi, A.
PY - 2008
Y1 - 2008
N2 - Axial-flux, Permanent-magnet machines are used in different applications where the power and torque density requirements are very high. These machines have simple structures, relatively high efficiencies and low cost. The parameters of these machines are very small compared with the parameters of conventional machines. Different measuring methods are normally used in order to obtain good estimates of the machine parameters. These methods are difficult to perform, costly and time consuming. This paper proposes the use of Particle Swarm Optimization (PSO) technique to predict the self and mutual inductances of the 11-phase Torus machine automatically.
AB - Axial-flux, Permanent-magnet machines are used in different applications where the power and torque density requirements are very high. These machines have simple structures, relatively high efficiencies and low cost. The parameters of these machines are very small compared with the parameters of conventional machines. Different measuring methods are normally used in order to obtain good estimates of the machine parameters. These methods are difficult to perform, costly and time consuming. This paper proposes the use of Particle Swarm Optimization (PSO) technique to predict the self and mutual inductances of the 11-phase Torus machine automatically.
KW - Parameter identification
KW - Particle Swarm Optimization technique
KW - Torus machine
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U2 - 10.1109/PES.2008.4596691
DO - 10.1109/PES.2008.4596691
M3 - Conference contribution
AN - SCOPUS:52349115374
SN - 9781424419067
T3 - IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
BT - IEEE Power and Energy Society 2008 General Meeting
T2 - IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
Y2 - 20 July 2008 through 24 July 2008
ER -