This paper investigates the influence of nonideal voltage measurements on the parameter
estimation of permanent-magnet synchronous machines (PMSMs). The influence of …

This paper deals with a new transformation and fusion of digital input patterns used to train
and test feedforward neural network for a wound-rotor three-phase induction machine …

Induction motors (IMs) are the most used electromechanic machines in industrial
applications. Their control has become the subject of many studies since the 70 s, and there …

In this paper, we propose a new method for an online electric parameters identification of an
induction motor (IM). This method is carried out in the IM standstill configuration and uses …

摘要对基于损耗模型方法的异步电机效率优化控制方案而言, 是否准确获知了控制策略中所需的
电机参数, 尤其是与异步电机铁损, 铜损相关的电机参数将直接影响其节能效果 …

Stator resistance and inductances in d‐axis and q‐axis of permanent magnet synchronous
motors (PMSMs) are important parameters. Acquiring these accurate parameters is usually …

Cette thèse traite de l'utilisation des techniques neuronales pour l'identification et la
commande de la machine asynchrone avec une application dans un système de conversion …

This study reviews hybrid models built using fuzzy systems and neural networks. Expertise
for induction motor drives, using the learning capacity of artificial neural networks, is an …

为解决感应电机高性能控制中参数估计不准的问题, 提出基于苍狼算法的感应电机参数辨识方法
. 该优化算法是一种新颖的元启发式算法, 运用起来简单, 灵活, 需调节参数少 …

针对传统离线参数辨识中存在易受干扰及误差累计等问题ꎬ 提出一种新的异步电机离线参数
辨识方法ꎮ 该辨识方法采用折息递推算法ꎬ 克服了传统递推最小二乘法存在的“数据饱和” 问题ꎻ …