[HTML][HTML] Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer
This research addresses the parametric estimation problem in three-phase induction motors
by applying a recently developed metaheuristic method known as the generalized normal …
by applying a recently developed metaheuristic method known as the generalized normal …
Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives
AKM Kanakabettu, RB Irvathoor, S Saralaya… - Energies, 2024 - mdpi.com
This paper presents a new approach for the online estimation of stator and rotor resistance
of induction motors for speed sensorless vector-controlled drives, using feed-forward …
of induction motors for speed sensorless vector-controlled drives, using feed-forward …
Low Error Rate Induction Machine Parameter Estimation with Recurrent Neural Network
Induction machines are widely preferred in plants due to their uncomplicated structure and
low maintenance requirements. In order to achieve effective control over the operations of …
low maintenance requirements. In order to achieve effective control over the operations of …
[HTML][HTML] РАЗРАБОТКА ПРОГРАММЫ РАСЧЕТА ПАРАМЕТРОВ СХЕМЫ ЗАМЕЩЕНИЯ ТРЕХФАЗНОГО АСИНХРОННОГО ЭЛЕКТРОДВИГАТЕЛЯ
ДВ Дзюин, ВВ Дмитриева - Автоматизация и моделирование в …, 2024 - cyberleninka.ru
Статья посвящена разработке программы расчета параметров Т-образной схемы
замещения трехфазных асинхронных электродвигателей. Актуальность данной …
замещения трехфазных асинхронных электродвигателей. Актуальность данной …