Online parameter estimation of permanent magnet synchronous machines is critical for
improving their control performance and operational reliability. This paper provides an …

Feature Selection (FS) is considered a crucial procedure for eliminating unnecessary
features from datasets. FS is considered a challenging problem that is difficult to solve …

This article proposes two Kalman-filter-based online identification schemes for permanent
magnet synchronous machines (PMSMs), where the nonlinearity of a voltage-source …

In recent years, permanent magnet synchronous motors (PMSMs) have been widely used in
industry. Position-sensorless control has the advantages of reducing costs and improving …

Existing online motor parameter identification methods mostly depend on the fundamental
frequency voltage equations, which lead to the unsatisfactory identification effect at low …

Offline parameter identification of permanent magnet synchronous machines (PMSMs) is of
great importance for general-purpose drives with sensorless control. This paper proposes …

Precise electrical parameters play important roles in the high-performance control of
permanent magnet synchronous machines (PMSMs). This article proposes a novel …

An improved particle swarm optimization (PSO) algorithm based on Gaussian distribution
model is proposed to realize the autotuning of weighting factors for the cost function design …

Existing online parameter identification methods of permanent magnet synchronous motors
(PMSMs) are generally based on the voltage equations, the precision of which is affected by …

Abstract Permanent Magnet Synchronous Motor (PMSM) is widely used in the industrial
applications because of its simple construction and its high efficiency. Unfortunately, if a …