Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor
S Masumpoor, MA Khanesar - Expert Systems with Applications, 2015 - Elsevier
An innovative adaptive control method for speed control of induction motor based on field
oriented control is presented in this paper. The fusion of sliding-mode and type-2 neuro …
oriented control is presented in this paper. The fusion of sliding-mode and type-2 neuro …
[PDF][PDF] Modeling, design & simulation of an adaptive neuro-fuzzy inference system (ANFIS) for speed control of induction motor
ABSTRACT A novel design of an adaptive neuro fuzzy inference strategy (ANFIS) for
controlling some of the parameters, such as speed, torque, flux, voltage, current, etc. of the …
controlling some of the parameters, such as speed, torque, flux, voltage, current, etc. of the …
Fast terminal sliding mode control design for position control of induction motors using adaptive quantum neural networks
MM Zirkohi - Applied Soft Computing, 2022 - Elsevier
In this work, an efficient robust control scheme is proposed for position control of induction
motors based on field-oriented control (FOC). The proposed control scheme consists of …
motors based on field-oriented control (FOC). The proposed control scheme consists of …
Adaptive fuzzy vector control for a doubly-fed induction motor
This paper presents a new adaptive fuzzy vector controller (AFVC) to handle the torque and
speed tracking problem of a doubly-fed induction motor (DFIM) as an alternative to classical …
speed tracking problem of a doubly-fed induction motor (DFIM) as an alternative to classical …
Luenberger state observer for speed sensorless ISFOC induction motor drives
This paper presents an original method for the implementation of a sensorless indirect stator-
flux-oriented control (ISFOC) of induction motor (IM) drives. Indeed, the proposed method for …
flux-oriented control (ISFOC) of induction motor (IM) drives. Indeed, the proposed method for …
Discrete-time modeling and control based on field orientation for induction motors
JR Dominguez, I Duenas… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, discrete-time direct and indirect field-oriented controllers (FOCs) for induction
motors (IMs) are designed. Based on a discrete-time stationary reference frame model for …
motors (IMs) are designed. Based on a discrete-time stationary reference frame model for …
Fuzzy-sliding mode speed control for two wheels electric vehicle drive
Electric vehicles (EV) are developing fast during this decade due to drastic issues on the
protection of environment and the shortage of energy sources, so new technologies allow …
protection of environment and the shortage of energy sources, so new technologies allow …
Fuzzy model reference control with adaptation of input fuzzy sets
P Hušek, O Cerman - Knowledge-Based Systems, 2013 - Elsevier
An improved adaptation mechanism to fuzzy model reference learning control (FMRLC) will
be introduced in this paper. The main idea of the presented approach consists in including …
be introduced in this paper. The main idea of the presented approach consists in including …
State feedback tracking control for indirect field-oriented induction motor using fuzzy approach
M Allouche, M Chaabane, M Souissi, D Mehdi… - International Journal of …, 2013 - Springer
This paper deals with the synthesis of fuzzy controller applied to the induction motor with a
guaranteed model reference tracking performance. First, the Takagi-Sugeno (TS) fuzzy …
guaranteed model reference tracking performance. First, the Takagi-Sugeno (TS) fuzzy …
[PDF][PDF] Fuzzy logic speed control stability improvement of lightweight electric vehicle drive
To be satisfied with complex load condition of electric vehicle, fuzzy logic control (FLC) is
applied to improve speed response and system robust performance of induction traction …
applied to improve speed response and system robust performance of induction traction …