This paper proposes a method that combines random forest technology (RF) and a genetic
algorithm (GA) for optimal design of traction motors for electric vehicles (EVs). The target …

Motor design can be said as multi-modal optimization problem, as many performances
should be considered. In addition, a time-consuming finite element method (FEM) is …

In this paper, a novel encoderless control of permanent magnet assisted synchronous
reluctance generator (PMa-SynRG) based-stator current vector for renewable energy …

Permanent-magnet-assisted synchronous reluctance motors (PMA-SynRMs) are widely
used in modern industry as a kind of electromagnetic energy conversion device with high …

In this paper, an adaptive gain tuning rule is designed for the nonlinear sliding mode speed
control (NSMSC) in order to enhance the dynamic performance and the robustness of the …

Permanent magnet assisted synchronous reluctance motors (PMa-SyRMs) are becoming
popular in applications such as electric vehicles (EVs), refrigerant compressors, bore-well …

Permanent magnet-assisted synchronous reluctance motors (PMA-SynRMs) are widely
used in various industries as a relatively inexpensive and high-performance energy …

In this paper, internal division point genetic algorithm (IDP-GA) was proposed to lessen the
computational burden of multi-variable multi-objective optimization problem using finite …

This paper proposes an adaptive interpolation robustness optimization algorithm (AIROA)
for the robust optimal design of a permanent magnet assisted synchronous reluctance motor …

A hybrid ferrite‐Al‐Ni‐Co permanent magnet assisted synchronous reluctance motor (PMa‐
SyRM) for an air‐conditioner compressor is proposed. Al‐Ni‐Co PMs have high residual flux …