Add to ORKGIn the paper a robust control system with the fuzzy adaptive controller and the additional compensator is presented. A model reference adaptive control system (MRAC) is applied to a drive system with changeable parameters. The speed controller is based on the neurofuzzy network. The additional compensator relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. The proposed control structure is investigated in simulation and experimental tests
Industrial applications increasingly require electric drives with good position command tracking and...
Electrical drives are characterized by their natural non- linearity owing to their proper design and...
Neural networks and fuzzy inference systems are becoming well recognized tools of designing an ident...
In the paper a robust control system with the fuzzy adaptive controller and the additional compensat...
This thesis is concerned with the experimental investigation of robust speed control strategies for ...
Abstract—This paper proposes the design of power system stabilizer based on fuzzy logic and the slid...
This paper discusses a model reference adaptive sliding-mode control of the sensorless vector contro...
In the high-accuracy control of an AC machine, the knowledge of pure system parameters, with no devi...
This paper presents a robust control technique for a field oriented induction motor drive. Sliding M...
In this article, we propose a contribution to the control of a doubly fed induction motor by sliding...
In this work, we introduced a new robust hybrid control to an induction motor (IM), based on the the...
Author name used in this publication: K. W. E. ChengAuthor name used in this publication: H. F. HoVe...
<p>In the paper a problem of robust speed and position control of permanent magnet synchronous motor...
<p>This paper, presents a Direct Field-Oriented Control (DFOC) of doubly fed induction motor (DFIM) ...
Abstract: Neural networks and fuzzy inference systems are becoming well-recognized tools of designin...
Industrial applications increasingly require electric drives with good position command tracking and...
Electrical drives are characterized by their natural non- linearity owing to their proper design and...
Neural networks and fuzzy inference systems are becoming well recognized tools of designing an ident...
In the paper a robust control system with the fuzzy adaptive controller and the additional compensat...
This thesis is concerned with the experimental investigation of robust speed control strategies for ...
Abstract—This paper proposes the design of power system stabilizer based on fuzzy logic and the slid...
This paper discusses a model reference adaptive sliding-mode control of the sensorless vector contro...
In the high-accuracy control of an AC machine, the knowledge of pure system parameters, with no devi...
This paper presents a robust control technique for a field oriented induction motor drive. Sliding M...
In this article, we propose a contribution to the control of a doubly fed induction motor by sliding...
In this work, we introduced a new robust hybrid control to an induction motor (IM), based on the the...
Author name used in this publication: K. W. E. ChengAuthor name used in this publication: H. F. HoVe...
<p>In the paper a problem of robust speed and position control of permanent magnet synchronous motor...
<p>This paper, presents a Direct Field-Oriented Control (DFOC) of doubly fed induction motor (DFIM) ...
Abstract: Neural networks and fuzzy inference systems are becoming well-recognized tools of designin...
Industrial applications increasingly require electric drives with good position command tracking and...
Electrical drives are characterized by their natural non- linearity owing to their proper design and...
Neural networks and fuzzy inference systems are becoming well recognized tools of designing an ident...