@article {93585,
	title = {Indirect adaptive fuzzy finite time synergetic control for power systems},
	journal = {Power Stations, Grids and Systems},
	volume = {1},
	year = {2023},
	abstract = {
	Introduction.\&nbsp;Budget constraints in a world ravenous for electrical power have led utility companies to operate generating stations with full power and sometimes at the limit of stability. In such drastic conditions the occurrence of any contingency or disturbance may lead to a critical situation starting with poorly damped oscillations followed by loss of synchronism and power system instability. In the past decades, the utilization of supplementary excitation control signals for improving power system stability has received much attention. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp low-frequency oscillations caused by load disturbances or short-circuit faults. 



	Problem.\&nbsp;Adaptive power system stabilizers have been proposed to adequately deal with a wide range of operating conditions, but they suffer from the major drawback of requiring parameter model identification, state observation and on-line feedback gain computation. Power systems are nonlinear systems, with configurations and parameters that fluctuate with time that which require a fully nonlinear model and an adaptive control scheme for a practical operating environment. A new nonlinear adaptive fuzzy approach based on synergetic control theory which has been developed for nonlinear power system stabilizers to overcome above mentioned problems. 



	Aim.\&nbsp;Synergetic control theory has been successfully applied in the design of power system stabilizers is a most promising robust control technique relying on the same principle of invariance found in sliding mode control, but without its chattering drawback. In most of its applications, synergetic control law was designed based on an asymptotic stability analysis and the system trajectories evolve to a specified attractor reaching the equilibrium in an infinite time. In this paper an indirect finite time adaptive fuzzy synergetic power system stabilizer for damping local and inter-area modes of oscillations for power systems is presented.\&nbsp;



	Methodology.\&nbsp;The proposed controller design is based on an adaptive fuzzy control combining a synergetic control theory with a finite-time attractor and Lyapunov synthesis. Enhancing existing adaptive fuzzy synergetic power system stabilizer, where fuzzy systems are used to approximate unknown system dynamics and robust synergetic control for only providing asymptotic stability of the closed-loop system, the proposed technique procures finite time convergence property in the derivation of the continuous synergetic control law. Analytical proofs for finite time convergence are presented confirming that the proposed adaptive scheme can guarantee that system signals are bounded and finite time stability obtained.\&nbsp;



	Results.\&nbsp;The performance of the proposed stabilizer is evaluated for a single machine infinite bus system and for a multi machine power system under different type of disturbances. Simulation results are compared to those obtained with a conventional adaptive fuzzy synergetic controller.

},
	url = {http://eie.khpi.edu.ua/article/view/267200},
	author = {Khatir, Abdelfatah and Bouchama, Ziyad and Said Benaggoune and Zerroug, Nadjat}
}
@article {6409,
	title = {STRAT{\'E}GIE DE CONTR{\^O}LE NON LIN{\'E}AIRE OPTIMIS{\'E}E POUR LE G{\'E}N{\'E}RATEUR SYNCHRONE {\`A} AIMANT PERMANENT (GSAP) DANS LE SYST{\`E}ME DE CONVERSION DE L\&$\#$39;{\'E}NERGIE {\'E}OLIENNE (SCEE)},
	journal = {U.P.B. Sci. Bull., Series C},
	volume = {83},
	number = {1},
	year = {2021},
	abstract = {L{\textquoteright}article d{\'e}crit la conception et la mise en {\o}e}uvre en temps r{\'e}el d{\textquoteright}une commande non lin{\'e}aire appliqu{\'e}e {\`a} un syst{\`e}me de conversion de l{\textquoteright}{\'e}nergie {\'e}olienne (SCEE). La commande backstepping a {\'e}t{\'e} mise en {\o}e}uvre pour am{\'e}liorer les performances du syst{\`e}me de conversion {\'e}olienne bas{\'e} sur un g{\'e}n{\'e}rateur synchrone {\`a} aimants permanents (PMSG) connect{\'e} au r{\'e}seau. Deux convertisseurs statiques assurent la connexion au r{\'e}seau et sont contr{\^o}l{\'e}s par la modulation de largeur d{\textquoteright}impulsion (MLI). L{\textquoteright}algorithme de contr{\^o}le propos{\'e} assure un contr{\^o}le de vitesse ad{\'e}quat pour extraire la puissance maximale. Une description d{\'e}taill{\'e}e des lois de contr{\^o}le du backstepping bas{\'e}es sur la technique de stabilit{\'e} de Lyapunov a {\'e}t{\'e} expos{\'e}e. Les r{\'e}sultats obtenus par l{\textquoteright}application de cette approche ont clairement r{\'e}pondu aux exigences de robustesse et de suivi des r{\'e}f{\'e}rences m{\^e}me dans des conditions de vent fluctuants, et ont confirm{\'e} l{\textquoteright}efficacit{\'e} d{\textquoteright}un tel contr{\^o}le dans les modes de fonctionnement statique et dynamique.},
	url = {https://www.scientificbulletin.upb.ro/rev_docs_arhiva/rez246_250633.pdf},
	author = {ZARROUKI, Mohamed-Baha-Eddine and Said Benaggoune and Abdessemed, Rachid}
}
@article {62515,
	title = {STRAT{\'E}GIE DE CONTR{\^O}LE NON LIN{\'E}AIRE OPTIMIS{\'E}E POUR LE G{\'E}N{\'E}RATEUR SYNCHRONE {\`A} AIMANT PERMANENT (GSAP) DANS LE SYST{\`E}ME DE CONVERSION DE L\&$\#$39;{\'E}NERGIE {\'E}OLIENNE (SCEE)},
	journal = {U.P.B. Sci. Bull., Series CU.P.B. Sci. Bull., Series C},
	volume = {83},
	year = {2021},
	month = {2021},
	abstract = {L{\textquoteright}article d{\'e}crit la conception et la mise en {\o}euvre en temps r{\'e}el d{\textquoteright}une commande non lin{\'e}aire appliqu{\'e}e {\`a} un syst{\`e}me de conversion de l{\textquoteright}{\'e}nergie {\'e}olienne (SCEE). La commande backstepping a {\'e}t{\'e} mise en {\o}euvre pour am{\'e}liorer les performances du syst{\`e}me de conversion {\'e}olienne bas{\'e} sur un g{\'e}n{\'e}rateur synchrone {\`a} aimants permanents (PMSG) connect{\'e} au r{\'e}seau. Deux convertisseurs statiques assurent la connexion au r{\'e}seau et sont contr{\^o}l{\'e}s par la modulation de largeur d{\textquoteright}impulsion (MLI). L{\textquoteright}algorithme de contr{\^o}le propos{\'e} assure un contr{\^o}le de vitesse ad{\'e}quat pour extraire la puissance maximale. Une description d{\'e}taill{\'e}e des lois de contr{\^o}le du backstepping bas{\'e}es sur la technique de stabilit{\'e} de Lyapunov a {\'e}t{\'e} expos{\'e}e. Les r{\'e}sultats obtenus par l{\textquoteright}application de cette approche ont clairement r{\'e}pondu aux exigences de robustesse et de suivi des r{\'e}f{\'e}rences m{\^e}me dans des conditions de vent fluctuants, et ont confirm{\'e} l{\textquoteright}efficacit{\'e} d{\textquoteright}un tel contr{\^o}le dans les modes de fonctionnement statique et dynamique.},
	author = {ZARROUKI, Mohamed-Baha-Eddine and Said Benaggoune and Abdessemed, Rachid}
}
@article {61534,
	title = {STRAT{\'E}GIE DE CONTR{\^O}LE NON LIN{\'E}AIRE OPTIMIS{\'E}E POUR LE G{\'E}N{\'E}RATEUR SYNCHRONE {\`A} AIMANT PERMANENT (GSAP) DANS LE SYST{\`E}ME DE CONVERSION DE L\&$\#$39;{\'E}NERGIE {\'E}OLIENNE (SCEE)},
	journal = {U.P.B. Sci. Bull., Series C},
	volume = {83},
	number = {1},
	year = {2021},
	abstract = {
	L{\textquoteright}article d{\'e}crit la conception et la mise en {\oe}uvre en temps r{\'e}el d{\textquoteright}une commande non lin{\'e}aire appliqu{\'e}e {\`a} un syst{\`e}me de conversion de l{\textquoteright}{\'e}nergie {\'e}olienne (SCEE). La commande backstepping a {\'e}t{\'e} mise en {\oe}uvre pour am{\'e}liorer les performances du syst{\`e}me de conversion {\'e}olienne bas{\'e} sur un g{\'e}n{\'e}rateur synchrone {\`a} aimants permanents (PMSG) connect{\'e} au r{\'e}seau. Deux convertisseurs statiques assurent la connexion au r{\'e}seau et sont contr{\^o}l{\'e}s par la modulation de largeur d{\textquoteright}impulsion (MLI). L{\textquoteright}algorithme de contr{\^o}le propos{\'e} assure un contr{\^o}le de vitesse ad{\'e}quat pour extraire la puissance maximale. Une description d{\'e}taill{\'e}e des lois de contr{\^o}le du backstepping bas{\'e}es sur la technique de stabilit{\'e} de Lyapunov a {\'e}t{\'e} expos{\'e}e. Les r{\'e}sultats obtenus par l{\textquoteright}application de cette approche ont clairement r{\'e}pondu aux exigences de robustesse et de suivi des r{\'e}f{\'e}rences m{\^e}me dans des conditions de vent fluctuants, et ont confirm{\'e} l{\textquoteright}efficacit{\'e} d{\textquoteright}un tel contr{\^o}le dans les modes de fonctionnement statique et dynamique.

},
	url = {https://www.scientificbulletin.upb.ro/rev_docs_arhiva/rez246_250633.pdf},
	author = {Mohamed Baha Eddine ZARROUKI and Said Benaggoune and Abdessemed, Rachid}
}
@proceedings {6686,
	title = {Fuzzy Control with Adaptive Gain of DFIG based WECS},
	journal = {4th International Conference on Artificial Intelligence in Renewable Energetic Systems IC-AIRES2020},
	year = {2020},
	abstract = {In this paper, a direct vector control using fuzzy logic controller with adaptive gain for a doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is presented. The performance of fuzzy controllers is characterized by unsatisfactory performance: (wide overshoot, excessive oscillations and sensitivity to parametric variations). We propose a robust method, where the control gain will be continually adapted with the use of a set of fuzzy rules; we only consider the gain adaptation of the command. I mean the value of the gain will be determined by a rule base defined by the error and the variation of the error. Finally, the control of the active and reactive powers using a fuzzy logic controller with adaptive gain is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with the conventional fuzzy logic controller. Performance and robustness results obtained are presented and analyzed. KEY WORDS Wind energy conversion system ; Vector control ; Fuzzy logic controller ; Adaptive fuzzy logic controller.},
	url = {https://www.researchgate.net/publication/353742338_Fuzzy_Control_with_Adaptive_Gain_of_DFIG_based_WECS},
	author = {Choug, N and Said Benaggoune and Sebti, Belkacem}
}
@article {6690,
	title = {Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator},
	journal = {International Journal of Engineering, IJE TRANSACTIONS A: Basics},
	volume = {33},
	number = {4},
	year = {2020},
	pages = {567-574},
	abstract = {This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic, Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement theory. The various strategies are analyzed and compared in terms of tracking, robustness, and sensitivity to the speed variation. Simulations are done using MATLAB software. The simulation results prove that the proposed approach leads to good performances such as the tracking test, the rejection of disturbances and the robustness concerning the parameter variations. The hybrid controller is much more efficient compared to those of PI and RST controller, it also improves the performance of the powers and ensures some important strength despite the parameter variation of the DFIG.},
	url = {https://iranjournals.nlai.ir/bitstream/handle/123456789/336773/9E6B4620EFF728DA18A66028C9F96615.pdf?sequence=-1\&isAllowed=y},
	author = {Choug, N and Said Benaggoune and Sebti, Belkacem}
}
@article {6689,
	title = {Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator},
	journal = {International Journal of Engineering,IJE TRANSACTIONS B: Applications},
	volume = {33},
	number = {2},
	year = {2020},
	pages = {248-25},
	abstract = {The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surface of the control to exclude chattering phenomenon caused by the discontinuous control action. This technique offers attractive features, such as robustness to parameter variations. Simulations results of 2.5 KW BDFIG have been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC) and sliding mode control (SMC). We compare the static and dynamic characteristics of the three control techniques under the same operating conditions and in the same simulation configuration. The proposed controller schemes (NFSMC) are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effects of parametric uncertainties not affecting system performance.},
	url = {https://iranjournals.nlai.ir/bitstream/handle/123456789/336089/0677E777FB6D5E7E0591C23F4302267F.pdf?sequence=-1\&isAllowed=y},
	author = {Ouada, L and Said Benaggoune and Sebti, Belkacem}
}
@article {7069,
	title = {Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator},
	journal = {International Journal of Engineering (IJE)},
	volume = {33},
	number = {4},
	year = {2020},
	pages = {567-574},
	abstract = {This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic, Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement theory. The various strategies are analyzed and compared in terms of tracking, robustness, and sensitivity to the speed variation. Simulations are done using MATLAB software. The simulation results prove that the proposed approach leads to good performances such as the tracking test, the rejection of disturbances and the robustness concerning the parameter variations. The hybrid controller is much more efficient compared to those of PI and RST controller, it also improves the performance of the powers and ensures some important strength despite the parameter variation of the DFIG.},
	url = {https://www.ije.ir/article_106029.html},
	author = {N. Choug and Said Benaggoune and Sebti Belkacem}
}
@article {7074,
	title = {Robust Wheel Slip for Vehicle Anti-lock Braking System with Fuzzy Sliding Mode Controller (FSMC)},
	journal = {Engineering, Technology \& Applied Science Research},
	volume = {10},
	number = {5},
	year = {2020},
	pages = {6368-6373},
	abstract = {Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels after the brakes are applied. Its control is a rather complicated problem due to its strongly nonlinear and uncertain characteristics. The aim of this paper is to investigate the wheel slip control of the ground vehicle, comprising two new strategies. The first strategy is the Sliding Mode Controller (SMC) and the second one is the Fuzzy Sliding Mode Controller (FSMC), which is a combination of fuzzy logic and sliding mode, to ensure the stability of the closed-loop system and remove the chattering phenomenon introduced by classical sliding mode control. The obtained simulation results reveal the efficiency of the proposed technique for various initial road conditions.},
	url = {https://etasr.com/index.php/ETASR/article/view/3830},
	author = {S LATRECHE and Said Benaggoune}
}
@article {63094,
	title = {Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach},
	journal = {Applied Computing and InformaticsApplied Computing and Informatics},
	year = {2020},
	month = {2020},
	isbn = {2210-8327},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@article {62980,
	title = {Robust wheel slip for vehicle anti-lock braking system with Fuzzy Sliding Mode Controller (FSMC)},
	journal = {Engineering, Technology \& Applied Science ResearchEngineering, Technology \& Applied Science Research},
	volume = {10},
	year = {2020},
	month = {2020},
	pages = {6368-6373},
	isbn = {1792-8036},
	author = {Latreche, Sadjia and Said Benaggoune}
}
@article {45235,
	title = {Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach},
	journal = {Applied Computing and Informatics},
	year = {2020},
	publisher = {Emerald Publishing Limited},
	abstract = {
	This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.

},
	isbn = {2634-1964},
	url = {https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.09.001/full/html?utm_source=rss\&utm_medium=feed\&utm_campaign=rss_journalLatest},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@article {article,
	title = {Sliding Mode Control of a Grid-Connected Brushless Doubly Fed Induction Generator},
	journal = {European Journal of Electrical Engineering},
	volume = {21},
	year = {2019},
	month = {11},
	pages = {421-430},
	abstract = {This paper designs an indirect power control method for brushless doubly fed induction generator (BDFIG), in which the stator is attached to grid with back-to-back space vector modulation (SVM) converter that converts the generated wind power. Our control method is a sliding mode control based on the theory of variable structure control. Specifically, the active and reactive powers, which are exchanged between the stator of the BDFIG and the grid in a linear and decoupled manner, are subjected to decoupled, vector control. In addition, a proportional integral (PI) controller was implemented to keep the DC-voltage constant for the back-to-back SVM converter. The efficiency of our control strategy was validated through simulation. The research greatly promotes the control of renewable energy generators.},
	doi = {10.18280/ejee.210504},
	url = {https://www.iieta.org/journals/ejee/paper/10.18280/ejee.210504},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune and Benguesmia, Hani}
}
@article {article,
	title = {Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS},
	journal = {International Journal of System Assurance Engineering and Management},
	volume = {10},
	year = {2019},
	month = {08},
	pages = {1145{\textendash}1157},
	abstract = {This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.},
	doi = {10.1007/s13198-019-00844-3},
	url = {https://link.springer.com/article/10.1007/s13198-019-00844-3},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune}
}
@article {63499,
	title = {Application of fuzzy PID controller based on genetic algorithm and particle Swarm optimization in direct torque control of double star induction motor},
	journal = {J. Cent. South UnivJ. Cent. South Univ},
	volume = {26},
	year = {2019},
	month = {2019},
	pages = {1886-1896},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@proceedings {63359,
	title = {Direct torque control using fuzzy second order sliding mode speed regulator of double star permanent magnet synchronous machine},
	journal = {International Conference on Electrical Engineering and Control Applications},
	year = {2019},
	month = {2019},
	pages = {139-153},
	publisher = {Springer},
	author = {Laggoun, Louanasse and Kiyyour, Brahim and Ghoulemallah Boukhalfa and Sebti Belkacem and Said Benaggoune}
}
@article {63312,
	title = {European Journal of Electrical Engineering},
	journal = {European Journal of Electrical EngineeringEuropean Journal of Electrical Engineering},
	volume = {21},
	year = {2019},
	month = {2019},
	pages = {421-430},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune and Benguesmia, Hani}
}
@article {63500,
	title = {Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor},
	journal = {Journal of Central South UniversityJournal of Central South University},
	volume = {26},
	year = {2019},
	month = {2019},
	pages = {1886-1896},
	isbn = {2227-5223},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@article {63313,
	title = {Sliding Mode Control of a Grid-Connected Brushless Doubly Fed Induction Generator},
	journal = {European Journal of Electrical EngineeringEuropean Journal of Electrical Engineering},
	volume = {21},
	year = {2019},
	month = {11 2019},
	pages = {421-430},
	abstract = {This paper designs an indirect power control method for brushless doubly fed induction generator (BDFIG), in which the stator is attached to grid with back-to-back space vector modulation (SVM) converter that converts the generated wind power. Our control method is a sliding mode control based on the theory of variable structure control. Specifically, the active and reactive powers, which are exchanged between the stator of the BDFIG and the grid in a linear and decoupled manner, are subjected to decoupled, vector control. In addition, a proportional integral (PI) controller was implemented to keep the DC-voltage constant for the back-to-back SVM converter. The efficiency of our control strategy was validated through simulation. The research greatly promotes the control of renewable energy generators.},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune and Benguesmia, Hani}
}
@article {63314,
	title = {Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS},
	journal = {International Journal of System Assurance Engineering and ManagementInternational Journal of System Assurance Engineering and Management},
	volume = {10},
	year = {2019},
	month = {08 2019},
	pages = {1145{\textendash}1157},
	abstract = {This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune}
}
@article {45160,
	title = {Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS},
	journal = {International Journal of System Assurance Engineering and Management},
	volume = {10},
	number = {5},
	year = {2019},
	pages = {1145-1157},
	publisher = {Springer},
	isbn = {0976-4348},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune}
}
@article {65032,
	title = {Applied Computing and Informatics},
	journal = {methodsmethods},
	volume = {36},
	year = {2018},
	month = {2018},
	pages = {37},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@article {65033,
	title = {Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach},
	journal = {Applied Computing and InformaticsApplied Computing and Informatics},
	year = {2018},
	month = {2018},
	abstract = {This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.},
	author = {Ghoulemallah Boukhalfa and Sebti Belkacem and Abdesselem Chikhi and Said Benaggoune}
}
@article {64856,
	title = {Direct torque control using second order sliding mode of a double star permanent magnet synchronous machine},
	journal = {U.P.B. Sci. Bull, Series CU.P.B. Sci. Bull, Series C},
	volume = {79},
	year = {2018},
	month = {2018},
	author = {LAGGOUN, L. and Youb, Lamia and Sebti Belkacem and Said Benaggoune and CRACIUNESCU, A.}
}
@book {64800,
	title = {Power quality of grid connected brushless doubly-fed induction generator using sliding mode control},
	year = {2018},
	month = {2018},
	author = {Moussa, Oussama and Abdessemed, Rachid and Said Benaggoune and Benguesmia, Hani}
}
@article {61478,
	title = {Lemya Medjbeur Mohamed N. Harmas},
	year = {2016},
	author = {Said Benaggoune}
}
@article {66740,
	title = {Robust sensorless control of BLDC Motor using second derivative function of the sum of terminal voltages},
	journal = {Serbian Journal of Electrical EngineeringSerbian Journal of Electrical Engineering},
	volume = {10},
	year = {2013},
	month = {2013},
	pages = {275-291},
	author = {Abdelali Boughaba and CHAABANE, MABROUK and Said Benaggoune}
}
