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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 freedomthe proposed controller was more effective than particle swarm optimization (PSO) tuned and type-1 fuzzylogic (T1FL) based damping controllers.

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

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Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 272-281 doi: 10.1007/s11708-015-0363-9

Abstract: speed, constant frequency doubly-fed induction generator in the wind turbine generation system by using fuzzylogic controllers.An intelligent fuzzy inference system is proposed as an alternative of the conventional proportionalFive fuzzy logic controllers are used in the rotor side converter (RSC) for maximum power point tracking(MPPT) algorithm, active and reactive power control loops, and another two fuzzy logic controllers for

Keywords： fuzzy logic     wind turbine     vector control     doubly-fed induction generator (DFIG)    

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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    

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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.

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

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THD reduction with reactive power compensation for fuzzy logic DVR based solar PV grid connected system

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 464-479 doi: 10.1007/s11708-014-0307-9

Abstract: comparison is conducted during fault with proportional integral (PI) and artificial intelligence-based fuzzylogic controlled DVR.Simulation results during fault show that the fuzzy logic based DVR scheme demonstrates simultaneousSimulation results and validations of MPPT technique and operation of fuzzy logic controlled DVR demonstrate

Keywords： fuzzy logic     maximum power point tracking (MPPT)     proportional integral (PI)     control     voltage restorer    

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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

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

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Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 81-89 doi: 10.1007/s11708-014-0295-9

Abstract: In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for highThe error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation.

Keywords： induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV    

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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)    

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Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 353-362 doi: 10.1007/s11465-020-0620-4

Abstract: performance of controlling underactuated robotic systems can be further improved by the adoption of fuzzylogic to perform adaptive online hyper-parameter tuning.

Keywords： sliding-mode control     robot control     discrete-time uncertain systems     fuzzy logic    

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Fuzzy Control on Vehicle Motion Based on Subjective-objectiveJudgment of Driving Tenseness

Chen Xuemei and Gao Li

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 53-57

Abstract: distance， velocity and drivers’characteristics．Then the control algorithm of vehicle motion based on fuzzylogic is established and is simulated with Simulink．The results show that the higher the emergency degreeresults also show that the drivers’characteristics have obvious effect on the braking operation．The fuzzylogic is valid to control vehicle’s deceleration．

Keywords： 　driver behavior；emergency；fuzzy logic；safety    

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Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 32-47 doi: 10.1007/s42524-019-0082-8

Abstract: In addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options as

Keywords： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 90-99 doi: 10.1007/s11709-016-0363-9

Abstract: models of multiple linear regression model (MLR), artificial neural network (ANN), and adaptive neuro-fuzzy

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity analysis (SA)    

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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    

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A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 75-79

Abstract:

A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in thisRough-fuzzy model can be built by obtaining general simplified rules from the large number of data using

Keywords： information fusion     rough sets     fuzzy logic     rough-fuzzy model    

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzylogic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS).The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inferenceCompared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC),

Keywords： adaptive neuro-fuzzy inference system (ANFIS)     artificial neural network     direct torque control (DTC)     fuzzylogic     induction motor    

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Title Author Date Type Operation

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

Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Journal Article

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

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

Amar BENAISSA,Boualaga RABHI,Ammar MOUSSI

Journal Article

THD reduction with reactive power compensation for fuzzy logic DVR based solar PV grid connected system

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

Journal Article

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

Abdelhak DIDA,Djilani BENATTOUS

Journal Article

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

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

Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Journal Article

Fuzzy Control on Vehicle Motion Based on Subjective-objectiveJudgment of Driving Tenseness

Chen Xuemei and Gao Li

Journal Article

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Journal Article

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

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 Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Journal Article

Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article