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Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: DFIG are strictly controlled at a required level, which, in this paper, is realized with an optimized fuzzylogic controller based on the grid flux oriented control, which gives an optimal operation of the DFIG

Keywords: doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 307-316 doi: 10.1007/s11708-013-0269-3

Abstract: In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlledFor controller design, memberships of system variables were represented using interval type-2 fuzzy setsThe three-dimensional membership function of type-2 fuzzy sets provided additional degree of freedomwas more effective than particle swarm optimization (PSO) tuned and type-1 fuzzy logic (T1FL) basedRobust performance of the proposed controller was also validated at different operating conditions, various

Keywords: power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     intervaltype-2 fuzzy logic controller (IT2FLC)    

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioningfuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controllerand the basic fuzzy controller.It is also shown that the controller has good disturbance rejection properties and insensitivity to plant

Keywords: fuzzy controller     rules auto-tuning     adaptive    

wind power generating system integration on frequency stabilization in multi-area power system with fuzzylogic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 7-21 doi: 10.1007/s11708-014-0338-2

Abstract: The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quick

Keywords: power system     automatic generation control     wind power generating system (WPGS)     deregulated environment     fuzzylogic controller (FLC)    

Power quality improvement using fuzzy logic controller for five-level shunt active power filter under

Amar BENAISSA,Boualaga RABHI,Ammar MOUSSI

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 212-220 doi: 10.1007/s11708-013-0284-4

Abstract: control strategy is based on the use of self-tuning filters (STF) for reference current generation and a fuzzylogic current controller.The MATLAB fuzzy logic toolbox is used for implementing the fuzzy logic control algorithm.The obtained results show that the proposed shunt APF controller has produced a sinusoidal supply current

Keywords: active power filter (APF)     harmonics isolator     distorted voltage conditions     self-tuning filters (STF)     fuzzy    

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 84-87

Abstract:

On the basis of analyzing characteristics of the central air-conditioning system, a fuzzy controllerweighting factor a and the output scaling gain Ku is adopted in the applied rule-adjustable fuzzycontroller.The experimental result indicates that the optimization method enhances the robustness of the fuzzy controllerAs the temperature of the cooling water and the temperature of the circumstances change, the controller

Keywords: central air-conditioning system     temperature control     fuzzy controller     parameter optimization    

Load frequency control in deregulated power system with wind integrated system using fuzzy controller

Yajvender Pal VERMA, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 245-254 doi: 10.1007/s11708-012-0218-6

Abstract: analysis of load frequency control (LFC) of a deregulated two-area hydro-thermal power system using fuzzylogic controller, with doubly fed induction generators (DFIGs) integrated into both the control areasdynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzycontroller.

Keywords: frequency regulation     fuzzy controller     de-regulated power system     doubly fed induction generator (DFIG)    

The Design of a Valve Positioner System Based on ARM Microcontroller

Wu Aiguo,Wang Lishi

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 69-73

Abstract: On the one hand, the selection of ARM with CAN interface of Philips as the core controller can not onlycalculation and collection of real-time data, but also keep a real-time communication between the valve controllerOn the other hand, the design of control method with intelligent integral and self-learning fuzzy controller

Keywords: ARM     controller     CANbus     intelligent integral     self-learning fuzzy controller    

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodThe average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage

Keywords: photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 143-154 doi: 10.1007/s11708-016-0402-1

Abstract: A fuzzy inference system (FIS) is adopted as an alternative of the conventional proportional and integral(PI) controller to reject some uncertainties or disturbance.

Keywords: WTGS)     doubly-fed induction generator (DFIG)     maximum power point tracking (MPPT)     vector control (VC)     fuzzylogic controller (FLC)    

power capture optimization based sensorless maximum power point tracking strategy and internal model controller

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 742-756 doi: 10.1007/s11708-017-0462-x

Abstract: harvested power from the wind is realized by a maximum power point tracking (MPPT) algorithm based on fuzzylogic, and the control strategy of the generator is implemented by means of an internal model (IM) controllerare incorporated in the vector control technique, as an alternative to the proportional integral (PI) controllerThe MPPT in conjunction with the IM controller is proposed as an alternative to the traditional tip speed

Keywords: power optimization     wind energy conversion system     maximum power point tracking (MPPT)     fuzzy logic     internalmodel (IM) controller    

Unified power quality conditioner based on a three-level NPC inverter using fuzzy control techniques

Salim CHENNAI,M-T BENCHOUIA

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 221-239 doi: 10.1007/s11708-014-0317-7

Abstract: unified power quality conditioner (UPQC) based on three-level neutral point clamped (NPC) inverter using fuzzyThe DC voltage is maintained constant using proportional integral voltage controller.To improve the UPQC capability, fuzzy logic techniques are introduced to control the series APF.

Keywords: point clamped (NPC) inverter     unified power quality conditioner (UPQC)     current harmonics mitigation     fuzzylogic controller     voltage disturbance compensation     shunt active filter     series active filter     power quality    

Derivation and analysis on the analytical structure of interval type-2 fuzzy controller with two nonlinearfuzzy sets for each input variable Project supported by the Xinjiang Astronomical Observatory Article

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 587-602 doi: 10.1631/FITEE.1601019

Abstract: Revealing the analytical structure of any type-2 fuzzy controller is important as it will deepen ourunderstanding of how and why a type-2 fuzzy controller functions and lay a foundation for more rigorousIn this study, we derive and analyze the analytical structure of an interval type-2 fuzzy controllerThrough dividing the input space of the interval type-2 fuzzy controller into 15 partitions, the input-outputFinally, the reliability of the analysis results and the effectiveness of the interval type-2 fuzzy controller

Keywords: Interval type-2 fuzzy controller     Analytical structure     Karnik-Mendel type reducer    

Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract: We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differentialA training data set required to train the ANFIS controller has been obtained by designing a fuzzy logicbased navigation controller.The robustness of the proposed navigation controller has been evaluated by navigating the mobile robotby the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy

Keywords: Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 413-425 doi: 10.1007/s11708-015-0379-1

Abstract: The controller gains are then obtained by solving linear matrix inequalities.Furthermore, an extension for controller design with parameter uncertainties and perturbation performance

Keywords: Takagi-Sugeno (T-S) fuzzy systems     sector nonlinearity     nonlinear controller     linear matrix inequality (    

Title Author Date Type Operation

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

wind power generating system integration on frequency stabilization in multi-area power system with fuzzylogic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Journal Article

Power quality improvement using fuzzy logic controller for five-level shunt active power filter under

Amar BENAISSA,Boualaga RABHI,Ammar MOUSSI

Journal Article

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Journal Article

Load frequency control in deregulated power system with wind integrated system using fuzzy controller

Yajvender Pal VERMA, Ashwani KUMAR

Journal Article

The Design of a Valve Positioner System Based on ARM Microcontroller

Wu Aiguo,Wang Lishi

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article

A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Journal Article

power capture optimization based sensorless maximum power point tracking strategy and internal model controller

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

Journal Article

Unified power quality conditioner based on a three-level NPC inverter using fuzzy control techniques

Salim CHENNAI,M-T BENCHOUIA

Journal Article

Derivation and analysis on the analytical structure of interval type-2 fuzzy controller with two nonlinearfuzzy sets for each input variable Project supported by the Xinjiang Astronomical Observatory

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Journal Article