TY - GEN
T1 - Multi-Objective Optimization of Medium-Scale Wound-Field Electric Generators
AU - Bramerdorfer, Gerd
AU - Marth, Edmund
AU - Nuzzo, Stefano
AU - Galea, Michael
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - This work deals with the optimization of electric generators for multiple performance measures, e.g., the simultaneous maximization of the fundamental harmonic and the minimization of the total harmonic distortion of the Back-EMF. For a given slot/pole-configuration and pole span, the goal is to find the optimal rotor outer contour along the air gap. Different approaches for modeling the rotor contour are followed here, i.e., a Fourier-series based approach and a piecewise discretization of the circumference. The work is about performing optimizations for both approaches and to compare the achieved results (i) when considering similar computational effort, (ii) regarding modeling complexity versus design flexibility, and (iii) the possibility for acquiring additional information, as for instance the sensitivity of the contour regarding manufacturing tolerances.
AB - This work deals with the optimization of electric generators for multiple performance measures, e.g., the simultaneous maximization of the fundamental harmonic and the minimization of the total harmonic distortion of the Back-EMF. For a given slot/pole-configuration and pole span, the goal is to find the optimal rotor outer contour along the air gap. Different approaches for modeling the rotor contour are followed here, i.e., a Fourier-series based approach and a piecewise discretization of the circumference. The work is about performing optimizations for both approaches and to compare the achieved results (i) when considering similar computational effort, (ii) regarding modeling complexity versus design flexibility, and (iii) the possibility for acquiring additional information, as for instance the sensitivity of the contour regarding manufacturing tolerances.
KW - Evolutionary algorithms
KW - Multi-objective
KW - Optimization
KW - Wound-field generator
UR - http://www.scopus.com/inward/record.url?scp=85113381879&partnerID=8YFLogxK
U2 - 10.1109/CEFC46938.2020.9451327
DO - 10.1109/CEFC46938.2020.9451327
M3 - Conference contribution
AN - SCOPUS:85113381879
T3 - CEFC 2020 - Selected Papers from the 19th Biennial IEEE Conference on Electromagnetic Field Computation
BT - CEFC 2020 - Selected Papers from the 19th Biennial IEEE Conference on Electromagnetic Field Computation
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2020
Y2 - 16 November 2020 through 18 November 2020
ER -