TY - JOUR
T1 - Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization
AU - Sindhya, Karthik
AU - Manninen, Aino
AU - Miettinen, Kaisa
AU - Pippuri, Jenni
N1 - Funding Information:
Manuscript received December 30, 2016; revised March 20, 2017; accepted April 16, 2017. Date of publication May 25, 2017; date of current version October 24, 2017. This work was supported in part by the TEKES, the Finnish Funding Agency for Innovation (the SIMPRO project), and in part by the Academy of Finland (Project 289338) (Corresponding author: Karthik Sindhya.) K. Sindhya and K. Miettinen are with the University of Jyvaskyla, Faculty of Information Technology, FI-40014 University of Jyväskylä, Finland (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1982-2012 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - We consider an analytical model of a permanent magnet synchronous generator (PMSG) and formulate a mixed-integer constrained multiobjective optimization problem with six objective functions. We demonstrate the usefulness of solving such a problem by applying an interactive multiobjective optimization method called NIMBUS. In the NIMBUS method, a decision is iteratively involved in the optimization process and directs the solution process in order to find the most preferred Pareto optimal solution for the problem. We also employ a commonly used noninteractive evolutionary multiobjective optimization method called NSGA-II to generate a set of solutions that approximate the Pareto set and demonstrate the advantages of using an interactive method. This study is the first one to consider an interactive approach for the design of a PMSG. Thus, we promote the further usage of interactive multiobjective optimization methods in the design. Further, we see that these methods could also be very useful in the teaching of electrical machines.
AB - We consider an analytical model of a permanent magnet synchronous generator (PMSG) and formulate a mixed-integer constrained multiobjective optimization problem with six objective functions. We demonstrate the usefulness of solving such a problem by applying an interactive multiobjective optimization method called NIMBUS. In the NIMBUS method, a decision is iteratively involved in the optimization process and directs the solution process in order to find the most preferred Pareto optimal solution for the problem. We also employ a commonly used noninteractive evolutionary multiobjective optimization method called NSGA-II to generate a set of solutions that approximate the Pareto set and demonstrate the advantages of using an interactive method. This study is the first one to consider an interactive approach for the design of a PMSG. Thus, we promote the further usage of interactive multiobjective optimization methods in the design. Further, we see that these methods could also be very useful in the teaching of electrical machines.
KW - Design tools
KW - generators
KW - Pareto optimization
KW - permanent magnet (PM) machines
UR - http://www.scopus.com/inward/record.url?scp=85032919407&partnerID=8YFLogxK
U2 - 10.1109/TIE.2017.2708038
DO - 10.1109/TIE.2017.2708038
M3 - Article
AN - SCOPUS:85032919407
SN - 0278-0046
VL - 64
SP - 9776
EP - 9783
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 12
M1 - 7934017
ER -