Analytical Model-Based Design Optimization of a Transverse Flux Machine

Eduard Muljadi, Iftekhar Hasan, Tausif Husain, Yilmaz Sozer, Iqbal Husain

Research output: Contribution to conferencePaper

12 Scopus Citations


This paper proposes an analytical machine design tool using magnetic equivalent circuit (MEC)-based particle swarm optimization (PSO) for a double-sided, flux-concentrating transverse flux machine (TFM). The magnetic equivalent circuit method is applied to analytically establish the relationship between the design objective and the input variables of prospective TFM designs. This is computationally less intensive and more time efficient than finite element solvers. A PSO algorithm is then used to design a machine with the highest torque density within the specified power range along with some geometric design constraints. The stator pole length, magnet length, and rotor thickness are the variables that define the optimization search space. Finite element analysis (FEA) was carried out to verify the performance of the MEC-PSO optimized machine. The proposed analytical design tool helps save computation time by at least 50% when compared to commercial FEA-based optimization programs, with results found to be in agreement with less than 5% error.
Original languageAmerican English
Number of pages7
StatePublished - 2017
Event2016 IEEE Energy Conversion Congress and Exposition (ECCE) - Milwaukee, Wisconsin
Duration: 18 Sep 201622 Sep 2016


Conference2016 IEEE Energy Conversion Congress and Exposition (ECCE)
CityMilwaukee, Wisconsin

NREL Publication Number

  • NREL/CP-5D00-66389


  • magnetic equivalent circuit
  • MEC
  • particle swarm optimization
  • PSO
  • TFM
  • transverse flux machine


Dive into the research topics of 'Analytical Model-Based Design Optimization of a Transverse Flux Machine'. Together they form a unique fingerprint.

Cite this