@article {27407,
	title = {Two Types of Fuzzy Logic Controllersfor the Speed Control of theDoubly-Fed Induction Machine.},
	journal = {Advances in Electrical and Computer Engineering},
	volume = {20},
	number = {3},
	year = {2020},
	pages = {65-74},
	abstract = {The paper presents two fuzzy logic controlalgorithms: type-1 and type-2. These two nonlinear techniquesare used for adjust the speed control with a direct stator fluxorientation control of a doubly fed induction motor. Theeffectiveness of the proposed control strategy is evaluatedunder different operating conditions such as of reference speedand for load torque step changes at nominal parameters and inthe presence of parameter variation (stator resistance, rotorresistance and moment of inertia). The results of the simulationof the doubly fed induction motor velocity control have shownthat fuzzy type-2 ensures better dynamic performances withrespect to fuzzy type-1 control, even by parametric variationsand external disturbances.I},
	author = {Abderazak SAIDI1, Farid NACERI1, Lamia YOUB1, Mihai CERNAT2, Luis GUASCH PESQUER3}
}
@article {22158,
	title = {DESIGN OF ROBUST CONTROL USING FUZZY LOGIC CONTROLLER FOR DOUBLY-FED INDUCTION MOTOR DRIVES},
	journal = {U.P.B. Sci. Bull.,},
	volume = {81},
	number = {1},
	year = {2019},
	pages = {159-170},
	abstract = {This paper presents a fuzzy logic controller destined to the doubly-fed induction motor (DFIM) speed controlling. It solves the problems associated with the conventional IP (Integral Proportional) controller. This fuzzy logic controller is based on the decoupling control to enhance robustness under different operating conditions such as load torque and in the presence of parameters variation.The simulation results for various scenarios show the high performances of the proposed control in terms of piloting effectiveness, precision, rapidity and stability for the high powers DFIM operating at variable speeds.},
	author = {M. ZIDANI, L. YOUB, S. BELKACEM, F. NACERI}
}
@article {22157,
	title = {Speed control of a doubly-fed induction machine based on fuzzy adaptive},
	volume = {7},
	number = {1},
	year = {2019},
	pages = {61-76},
	abstract = {
	In this paper, we are interested in the adaptive\&nbsp;fuzzy control a technique has been studied and\&nbsp;applied, namely adaptive fuzzy control basedon theory of Lyapunov. The system based on the\&nbsp;stability theory is used to approximate the gains\&nbsp;ke and kdce to ensure the stability of the control\&nbsp;inparticular time, simulations results obtained by



	using MATLAB environment gives that the fuzzy 



	adaptive control more robust, also it has superior 



	dynamicsperformances. The results and test



	of robustness will be presented.

},
	author = {A. SAIDI, F. NACERI}
}
@article {21922,
	title = {A new robust adaptive fuzzy synergetic control fornonlinear systems with an application to an invertedpendulum},
	journal = {Int. J. Modelling, Identification and Control},
	volume = {33},
	number = {2},
	year = {2019},
	pages = {89-96},
	abstract = {This 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 ofthe closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals arebounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm isapplied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations anddiscussion are presented to illustrate the new robust adaptive fuzzy synergetic control describedin this work.},
	author = {A. SAIDI, F. NACERI, S. VAIDYANATHAN}
}
@article {22006,
	title = {
	Design of an Adaptive Fuzzy Control System



	for Dual Star Induction Motor Drives

},
	journal = {Advances in Electrical and Computer Engineering},
	volume = {18},
	number = {3},
	year = {2018},
	pages = {37-44},
	abstract = {
	In this paper, a new control strategy is developed;an adaptive fuzzy controller based on Lyapunov{\textquoteright}sstability theory (AFLC) recalculates the real-time



	PI-fuzzygains and combines the advantages of 



	two robust techniquesi.e. the fuzzy logic control



	and the adaptive one. For the newadaptive fuzzy 



	control, we followed two steps: in the first one, aPI-fuzzy controller is designed, in the second step,



	the gains ofa fuzzy regulator are determined. 



	Extensive simulation resultsare presented to 



	validate the proposed technique. The system is



	tested at different speeds and a very satisfactory



	performance has been achieved.

},
	author = {L. YOUB, S. BELKACEM1, F.  NACERI1, M. CERNAT2, L.G.  PESQUER3}
}
@article {21921,
	title = {Design of an Adaptive Fuzzy Control Systemfor Dual Star Induction Motor Drives},
	journal = {Advances in Electrical and Computer Engineering},
	volume = {18},
	number = {3},
	year = {2018},
	pages = {37-44},
	abstract = {In this paper, a new control strategy is developed;an adaptive fuzzy controller based on Lyapunov{\textquoteright}sstability theory (AFLC) recalculates the real-time PI-fuzzygains and combines the advantages of two robust techniquesi.e. the fuzzy logic control and the adaptive one. For the newadaptive fuzzy control, we followed two steps: in the first one, aPI-fuzzy controller is designed, in the second step, the gains ofa fuzzy regulator are determined. Extensive simulation resultsare presented to validate the proposed technique. The system istested at different speeds and a very satisfactory performancehas been achieved.},
	url = {www.aece.ro},
	author = {Lamia YOUB1, Sebti BELKACEM1, Farid NACERI1, Mihai CERNAT2, Luis Guasch PESQUER3}
}
