In this paper, an improved online particle swarm optimization (PSO) is proposed to optimize
the traditional search controller for improving the operating efficiency of the permanent …

To solve the optimization issues of interior permanent magnet synchronous motors
(IPMSMs) and ensure a large output torque while minimizing torque ripple and core loss, the …

Accurate estimation of PMSM parameters is beneficial to the high performance operation of
PMSM. In order to prevent PSO from falling into the local optimal solution in the PMSM …

To improve the performance and stability of the permanent magnet synchronous motor
(PMSM), a new type of built-in permanent magnet synchronous motor (IPMSMB) is …

When particle swarm optimization (PSO) is used to identify the parameters of permanent
magnet synchronous motor (PMSM), the movement of particles is not selective, which makes …

In this article, an improved hybrid particle swarm optimization (IHPSO) algorithm is proposed
to solve the optimization problem of controller parameters in the design of a permanent …

In this paper, we propose a novel particle swarm optimization (PSO), which is based on the
Euclidian distance of particles. In the conventional PSO, the convergence speed is …

This paper focuses on the optimal design of permanent magnet linear synchronous motor
(PMLSM) with trapezoidal permanent magnets (TPMs) at multispeed that are applied in …

In this article, an online data-driven multi-objective optimization is proposed to suppress the
undesired thrust ripple and improve the average thrust of the permanent magnet linear …

To increase the robustness of the toque ripple peak values in mass productions of surface‐
mounted permanent magnet synchronous motor (SPMSM), the multi‐objectives robust …