A critical evaluation and experimental verification of Extended Kalman Filter, Unscented Kalman Filter and Neural State Filter for state estimation of three phase …
This paper deals with the design and implementation of Extended Kalman Filter (EKF),
Unscented Kalman Filter (UKF) and Neural State Filter (NSF) for the state estimation of a …
Unscented Kalman Filter (UKF) and Neural State Filter (NSF) for the state estimation of a …
Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives
Scalar and vector drives have been the cornerstones of control of industrial motors for
decades. In both the elimination of mechanical speed sensor consists in a trend of modern …
decades. In both the elimination of mechanical speed sensor consists in a trend of modern …
Neural Network-Based Joint Velocity Estimation Method for Improving Robot Control Performance
Joint velocity estimation is one of the essential properties that implement for accurate robot
motion control. Although conventional approaches such as numerical differentiation of …
motion control. Although conventional approaches such as numerical differentiation of …
A Luenberger state observer for simultaneous estimation of speed and stator resistance in sensorless IRFOC induction motor drives
This paper characterizes the problem of implementing a simultaneous estimation of the
stator resistance and the rotor speed of a sensorless indirect rotor flux oriented control …
stator resistance and the rotor speed of a sensorless indirect rotor flux oriented control …
Long short-term memory network-based speed estimation model of an asynchronous motor
In this paper, an effective deep rotor speed estimation model of an asynchronous motor is
presented. The estimation model is based on the long short-term memory (LSTM) network …
presented. The estimation model is based on the long short-term memory (LSTM) network …
Neuro-fuzzy-based auto-tuning proportional integral controller for induction motor drive
This study presents a novel neuro-fuzzy (NF)-based auto-tuning proportional integral
controller (NFATPI) for accurate speed control, and to ensure optimal drive performances of …
controller (NFATPI) for accurate speed control, and to ensure optimal drive performances of …
Speed neuro-fuzzy estimator for sensorless indirect flux oriented induction motor drive
W Kaiser, IN da Silva… - IECON 2010-36th Annual …, 2010 - ieeexplore.ieee.org
The wide use of induction motors in high-precision drives calls for more advanced control
architectures. Probably the greatest progress made in recent years is the field oriented …
architectures. Probably the greatest progress made in recent years is the field oriented …
Development of a speed neuro-fuzzy estimator for sensorless magnetizing flux oriented induction motor control
The wide use of induction motors in high-precision drives calls for more advanced control
architectures. Probably the greatest progress made in recent years is the field oriented …
architectures. Probably the greatest progress made in recent years is the field oriented …
[PDF][PDF] A Stability Analysis of Simultaneous Estimation of Speed and Stator Resistance for Sensorless IRFOC Induction Motor Drives
This paper presents stability analysis of simultaneous speed and stator resistance
estimators for sensorless indirect rotor flux oriented control (IRFOC) induction motor (IM) …
estimators for sensorless indirect rotor flux oriented control (IRFOC) induction motor (IM) …
Critical analysis of determining induction motor operating power factor using measurement and estimation techniques
M Khodapanah - 2018 - bura.brunel.ac.uk
Induction motors are the most used in commercial and industrial areas that consume the
majority of generated electrical energy. The induction motors always create a low power …
majority of generated electrical energy. The induction motors always create a low power …