In this paper, a robust parametric model of a brushless permanent magnet machine with fractional-slot concentrated windings, which was developed for automated design optimization is presented. A computationally efficient finite-element analysis method was employed to estimate the dq-axes inductances, the induced voltage and torque ripple waveforms, and losses of the machine. A method for minimum effort calculation of the torque angle corresponding to the maximum torque per ampere load condition was developed. A differential evolution algorithm was implemented for the global design optimization with two concurrent objectives of minimum losses and minimum material cost. An engineering decision process based on the Pareto-optimal front for 3,500 candidate designs is presented together with discussions on the tradeoffs between cost and performance. One optimal design was finally selected, prototyped and successfully tested.
|Number of pages||10|
|Journal||IEEE Transactions on Industry Applications|
|State||Published - Sep 1 2014|
Bibliographical notePublisher Copyright:
© 1972-2012 IEEE.
- Differential evolution (DE)
- Finite-element analysis
- Fractional-slot concentrated winding
- Multi-objective design optimization
- Permanent-magnet (PM) machine
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering