The aircraft electrification is a vital solution for creating sustainable transportation
infrastructure, and developing high power density motors is the key to this electrification …

This review paper systematically summarizes the existing literature on applying classical AI
techniques and advanced deep learning algorithms to electric machine drives. It is …

The control of motor drive without considering iron loss affects the phase back electromotive
force and the torque performance. This article investigates the performance of permanent …

In this study, a novel parameter estimation method for permanent magnet synchronous
motor (PMSM) of chaotic particle swarm optimization with dynamic self-optimization …

Existing method of multi-objective optimization for linear motors provides poor consideration
for model robustness, thus, the models of linear motor which are implemented to multi …

This study applies the sliding mode control technique to control the three-phase induction
motor under magnetic saturation. Based on the field-oriented control technique, the …

This paper presents a new method to estimate the parameters of multi-cage models of
induction motors using only the information provided by manufacturers available in technical …

This paper proposes a space-vector dynamic model of the rotating induction motor (RIM)
taking into consideration both the magnetic saturation and the iron losses expressed in a …

Sažetak In modern traction drive systems for electric rolling stock with induction traction
motors, vector systems have found the greatest use as control systems. The reduction of …

To address the unsatisfactory performance of particle swarm optimization (PSO), a novel
multi‐strategy self‐optimizing simulated annealing particle swarm optimization (SOSAPSO) …