Wiener–Hammerstein nonlinear system identification using spectral analysis
A Brouri - International Journal of Robust and Nonlinear …, 2022 - Wiley Online Library
In this paper, a new approach is developed for the identification of Wiener–Hammerstein
model structures. Unlike several other papers, the transfer functions of linear elements are of …
model structures. Unlike several other papers, the transfer functions of linear elements are of …
Parameter identification of switched reluctance motor using exponential swept-sine signal
Switched reluctance motors (SRMs) present major interest in several domains, eg, in electric
vehicles, because of their wide range speed variation, high performances, low cost, and …
vehicles, because of their wide range speed variation, high performances, low cost, and …
Parameter Identification of Switched Reluctance Motor SRM Using Exponential Swept-Sine Signal
Switched reluctance motors (SRMs) received major interest in several domains, eg, in
electric vehicles. This interest is due to the many advantages of SRMs, including operation …
electric vehicles. This interest is due to the many advantages of SRMs, including operation …
Identification of parallel Wiener-Hammerstein systems
This paper is focused on the problem of system identification for a class of nonlinear systems
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …
[PDF][PDF] Parameter estimation of linear and nonlinear systems connected in parallel
H Oubouaddi, FE El Mansouri, A Brouri - WSEAS Transactions on …, 2023 - academia.edu
Presently, the problem of parameter estimation is addressed for a more general nonlinear
model. In this respect, the proposed nonlinear system is composed of the parallel …
model. In this respect, the proposed nonlinear system is composed of the parallel …
[PDF][PDF] Parameter Estimation of Electrical Vehicle Motor
H Oubouaddi, FE El Mansouri, A Bouklata… - … on Systems and …, 2023 - wseas.com
Presently, the problem of parameter estimation of motors used in electrical vehicles is
discussed. To make the control more efficient, a model of the electrical motor is developed …
discussed. To make the control more efficient, a model of the electrical motor is developed …
[PDF][PDF] Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control.
R Tarik, B Adil - AIMS Energy, 2022 - aimspress.com
Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control
Page 1 AIMS Energy, 10(5): 987–1004. DOI: 10.3934/energy.2022045 Received: 10 February …
Page 1 AIMS Energy, 10(5): 987–1004. DOI: 10.3934/energy.2022045 Received: 10 February …
Torque control of switched reluctance motor using ANN-PID controller
This paper aims to investigate the perfection of conventional tools, as well as the application
of intelligent tools for switched reluctance motor (SRM) modelling and torque control with …
of intelligent tools for switched reluctance motor (SRM) modelling and torque control with …
Advanced Control Strategy of Switched Reluctance Generator-Based Wind Energy Conversion Systems Using Backstepping and Extremum Seeking Techniques
Switched reluctance generators (SRG) become increasingly competitive with other electrical
machines due to their design, which includes only a stator winding. The SRG are known for …
machines due to their design, which includes only a stator winding. The SRG are known for …
[PDF][PDF] Switched Reluctance Motor Speed and Torque Control using ACO and PSO Algorithms
A Switched Reluctance Machine (SRM) is an electric motor that operates based on the
principle of magnetic reluctance. In addition, SRMs have several advantages over other …
principle of magnetic reluctance. In addition, SRMs have several advantages over other …