2019
Bouchala T, Anouaressadate A, Abdelhadi B, Azeddine B.
Fictitious electric conductivity modelling of eddycurrent evaluation of magnetic materials, ISSN / e-ISSN 1058-9759 / 1477-2671. Nondestructive Testing and Evaluation [Internet]. 2019 :pp. 19-28.
Publisher's VersionAbstractThis paper presents a new modeling approach of eddy current nondestructive evaluation systems containing magnetic materials. Originally, the proposed model is based on coupled circuits principle and the notion of equivalent current density. In order to make the model homogenous, we consider the current density as a state variable since this density is compatible with the representation of the magnetisation by equivalent currents. By introducing the fictitious electric conductivity approach, the sensor impedance is expressed according to magnetic tube or plate characteristics such as electric conductivity and magnetic permeability. An excellent concordance is achieved by comparing the calculated results to those of analytical ones. Regarding the mesh simplicity and the fast calculation, this method is very adapted for the resolution of the inverse problems for real time evaluation of the properties of magnetic materials.
Boukhalfa G, Sebti B, Abdesselem C, Said BENAGGOUNE.
Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666. Journal of Central South University [Internet]. 2019;volume 26 (N°7) :pp. 1886–1896.
Publisher's VersionAbstractThis study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.
Boukhalfa G, Sebti B, Abdesselem C, Said BENAGGOUNE.
Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666. Journal of Central South University [Internet]. 2019;volume 26 (N°7) :pp. 1886–1896.
Publisher's VersionAbstractThis study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.
Boukhalfa G, Sebti B, Abdesselem C, Said BENAGGOUNE.
Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666. Journal of Central South University [Internet]. 2019;volume 26 (N°7) :pp. 1886–1896.
Publisher's VersionAbstractThis study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.
Boukhalfa G, Sebti B, Abdesselem C, Said BENAGGOUNE.
Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666. Journal of Central South University [Internet]. 2019;volume 26 (N°7) :pp. 1886–1896.
Publisher's VersionAbstractThis study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.
Salah BM.
New nanotechnology structures CNTFET GaAs. 8th International Conference on Renewable Energy Research and Applications (ICRERA) [Internet]. 2019.
Publisher's Version Abderazak S, Farid N.
A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180. International Journal of Modelling Identification and Control [Internet]. 2019;volume 33 (N°2).
Publisher's VersionAbstractThis paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.
Abderazak S, Farid N.
A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180. International Journal of Modelling Identification and Control [Internet]. 2019;volume 33 (N°2).
Publisher's VersionAbstractThis paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.