2018
Mazouz F, Belkacem S, Ouchen S, Harbouche Y, Abdessemed R.
Fuzzy control of a wind system based on the DFIG. In: Artificial Intelligence in Renewable Energetic Systems. Vol. 35. © Springer International Publishing AG 2018, ISBN: 978-3-319-73191-9 ; 2018.
Mazouz F, Belkacem S, Ouchen S, Harbouche Y, Abdessemed R.
Fuzzy control of a wind system based on the DFIG. In: Artificial Intelligence in Renewable Energetic Systems. Vol. 35. © Springer International Publishing AG 2018, ISBN: 978-3-319-73191-9 ; 2018.
Zermane H, Mouss H.
Fuzzy control of an industrial process system using internet and web services. International Journal of Industrial and Systems EngineeringInternational Journal of Industrial and Systems Engineering. 2018;29 :389-404.
Zermane H, Mouss H.
Fuzzy control of an industrial process system using internet and web services. International Journal of Industrial and Systems EngineeringInternational Journal of Industrial and Systems Engineering. 2018;29 :389-404.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L.
Fuzzy controller for self-excited dual star induction generator with online estimation ofmagnetizing inductance used in wind energy conversion. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg. BucarestRev. Roum. Sci. Techn.– Électrotechn. et Énerg. Bucarest. 2018;63 :417–422.
AbstractInduction generator with direct field oriented control is preferred for high performance applications due to its excellent dynamic behavior. The accuracy for the dual star induction generator control in the remote area highly depends on estimating the undetectable machine parameter values, such as the magnetizing inductance and flux. The aim of this paper is to propose a novel direct rotor flux oriented control with online estimation of magnetizing current, which applied to stand alone dual star induction generator supplying a wind turbine in remote area. The induction generator is connected to nonlinear load through two PWM rectifiers. The results of the proposed technique based on the magnetizing inductance estimation that used to control of induction generator shows an importance to determine the rotor flux position.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L.
Fuzzy controller for self-excited dual star induction generator with online estimation ofmagnetizing inductance used in wind energy conversion. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg. BucarestRev. Roum. Sci. Techn.– Électrotechn. et Énerg. Bucarest. 2018;63 :417–422.
AbstractInduction generator with direct field oriented control is preferred for high performance applications due to its excellent dynamic behavior. The accuracy for the dual star induction generator control in the remote area highly depends on estimating the undetectable machine parameter values, such as the magnetizing inductance and flux. The aim of this paper is to propose a novel direct rotor flux oriented control with online estimation of magnetizing current, which applied to stand alone dual star induction generator supplying a wind turbine in remote area. The induction generator is connected to nonlinear load through two PWM rectifiers. The results of the proposed technique based on the magnetizing inductance estimation that used to control of induction generator shows an importance to determine the rotor flux position.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L.
Fuzzy controller for self-excited dual star induction generator with online estimation ofmagnetizing inductance used in wind energy conversion. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg. BucarestRev. Roum. Sci. Techn.– Électrotechn. et Énerg. Bucarest. 2018;63 :417–422.
AbstractInduction generator with direct field oriented control is preferred for high performance applications due to its excellent dynamic behavior. The accuracy for the dual star induction generator control in the remote area highly depends on estimating the undetectable machine parameter values, such as the magnetizing inductance and flux. The aim of this paper is to propose a novel direct rotor flux oriented control with online estimation of magnetizing current, which applied to stand alone dual star induction generator supplying a wind turbine in remote area. The induction generator is connected to nonlinear load through two PWM rectifiers. The results of the proposed technique based on the magnetizing inductance estimation that used to control of induction generator shows an importance to determine the rotor flux position.
BENDJEDDOU YACINE, Abdessemed R, Merabet E, Bentouhami L.
Fuzzy controller for self-excited dual star induction generator with online estimation ofmagnetizing inductance used in wind energy conversion. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg. BucarestRev. Roum. Sci. Techn.– Électrotechn. et Énerg. Bucarest. 2018;63 :417–422.
AbstractInduction generator with direct field oriented control is preferred for high performance applications due to its excellent dynamic behavior. The accuracy for the dual star induction generator control in the remote area highly depends on estimating the undetectable machine parameter values, such as the magnetizing inductance and flux. The aim of this paper is to propose a novel direct rotor flux oriented control with online estimation of magnetizing current, which applied to stand alone dual star induction generator supplying a wind turbine in remote area. The induction generator is connected to nonlinear load through two PWM rectifiers. The results of the proposed technique based on the magnetizing inductance estimation that used to control of induction generator shows an importance to determine the rotor flux position.
Hanane Z.
Fuzzy Logic Control System in Medical Field. Proceedings of the International Conference on Industrial Engineering and Operations Management , July 26-27, [Internet]. 2018.
Publisher's VersionAbstract
Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists who gather around the "theories of uncertainty". The ramifications of fuzzy logic extend to fields as varied as control, the diagnosis of complex systems, bioinformatics, decision support. Research work is done in bio-informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was carried out under general anesthesia with propofol. We use in our work some parameters influencing the patient’s condition during the course of surgery to control their effects on the depth of general anesthesia by fuzzy logic. In this paper, we propose using the environment MatLab R2017a to realize this application. A comparison between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. This study will serve as a guide in developing new anesthesia control systems for patients.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy Logic Controller using the Nonholonomic Constraints for Quadrotor Trajectory Tracking, e-ISSN 2600-7029. Revue des sciences et sciences de l’ingénieurRevue des sciences et sciences de l’ingénieur. 2018;Volume 6 :pp 51-59.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy Logic Controller using the Nonholonomic Constraints for Quadrotor Trajectory Tracking, e-ISSN 2600-7029. Revue des sciences et sciences de l’ingénieurRevue des sciences et sciences de l’ingénieur. 2018;Volume 6 :pp 51-59.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy Logic Controller using the Nonholonomic Constraints for Quadrotor Trajectory Tracking, e-ISSN 2600-7029. Revue des sciences et sciences de l’ingénieurRevue des sciences et sciences de l’ingénieur. 2018;Volume 6 :pp 51-59.
Medjghou A, Slimane N, Chafaa K.
Fuzzy Sliding Mode Control Based on Backstepping Synthesis for Unmanned Quadrotors. Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/aeee.v16i2.2231ISSN 1336-1376 (Print) ISSN 1804-3119 (Online)Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/ae. 2018;16 :135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by EulerNewton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors, ISSN / e-ISSN 1336-1376 / 1804-3119. Advances in Electrical and Electronic EngineeringAdvances in Electrical and Electronic Engineering. 2018;volume 16 :pp 135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by Euler-Newton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Medjghou A, Slimane N, Chafaa K.
Fuzzy Sliding Mode Control Based on Backstepping Synthesis for Unmanned Quadrotors. Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/aeee.v16i2.2231ISSN 1336-1376 (Print) ISSN 1804-3119 (Online)Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/ae. 2018;16 :135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by EulerNewton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors, ISSN / e-ISSN 1336-1376 / 1804-3119. Advances in Electrical and Electronic EngineeringAdvances in Electrical and Electronic Engineering. 2018;volume 16 :pp 135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by Euler-Newton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Medjghou A, Slimane N, Chafaa K.
Fuzzy Sliding Mode Control Based on Backstepping Synthesis for Unmanned Quadrotors. Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/aeee.v16i2.2231ISSN 1336-1376 (Print) ISSN 1804-3119 (Online)Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/ae. 2018;16 :135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by EulerNewton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Ali M, Noureddine S, Kheireddine CHAFAA.
Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors, ISSN / e-ISSN 1336-1376 / 1804-3119. Advances in Electrical and Electronic EngineeringAdvances in Electrical and Electronic Engineering. 2018;volume 16 :pp 135-146.
AbstractThe main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by Euler-Newton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
Hanane Z, N Z, Samia A, R K.
Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge. International Conference on Information, Process, and Knowledge Management (eKNOW 2018). 10th ed. IARIA . 2018.
Hanane Z, N Z, Samia A, R K.
Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge. International Conference on Information, Process, and Knowledge Management (eKNOW 2018). 10th ed. IARIA . 2018.