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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: technology has been gradually employed to increase the automation and intelligence degree in quality controlusing statistical process control (SPC) method.In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

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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: This study proposes a gained switching-based discrete-time sliding mode control method to address thethe proposed method can effectively increase the convergence speed while guaranteeing chattering-free controlperformance of controlling underactuated robotic systems can be further improved by the adoption of fuzzy

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

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Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 706-721 doi: 10.1007/s11709-020-0612-9

Abstract: In the present study, several semi-active Fuzzy Control Algorithms (FCAs) for vibration mitigation ofTwo innovative fuzzy rule-bases are introduced.A total of six different fuzzy rule-bases are utilized.The performance of fuzzy control systems is also compared with a sky-hook and a passive-on system.Therefore, the results can be regarded as a general guide to design semi-active fuzzy control systems

Keywords： semi-active control     Fuzzy Control Algorithm     cable-stayed bridge     MR damper     Lali Bridge    

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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: This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIGThe DFIG structure control has a six diode rectifier and a PWM IGBT converter in order to control theDFIG 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 DFIGin sub-synchronous region, and the control of the stator power flow with the possibility of keeping

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

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

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

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

Abstract: 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 inferencesystem based direct torque control (ANFIS-DTC).Compared 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)     fuzzy    

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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: This paper presents the analysis of load frequency control (LFC) of a deregulated two-area hydro-thermalpower system using fuzzy logic controller, with doubly fed induction generators (DFIGs) integrated intoboth the control areas.Deregulation creates highly competitive and distributed control environment, and the LFC becomes evendynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzy

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

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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: doubly-fed induction generator in the wind turbine generation system by using fuzzy logic controllersThe control of the rotor-side converter is realized by stator flux oriented control, whereas the controlAn 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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Fuzzy cascade control based on control’s history for superheated temperature

WANG Guangjun, LI Gang, SHEN Shuguang

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 285-289 doi: 10.1007/s11708-007-0040-8

Abstract: Based on the analysis of the control objects’ dynamic characteristics, historical control information(substituting for the deviation change rate) is used as the basis for decision-making of the fuzzy controlFurthermore, a proportional component is introduced, the advantages of PID and fuzzy controllers areintegrated, and the structure weaknesses of conventional fuzzy controllers are overcome.system by this controller with PID and conventional fuzzy controllers.
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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.The drive employs an indirect vector control scheme for achieving a good closed loop speed control.

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

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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: This paper presents a novel and efficient control scheme for unified power quality conditioner (UPQC)based on three-level neutral point clamped (NPC) inverter using fuzzy logic techniques.The shunt and series APF reference signals derived from the control algorithm and sensed signals areTo 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     fuzzy    

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Fuzzy iterative learning control and numerical simulation of tall building seismic response control

Wang Quan,Wang Jianguo,Zhang Mingxiang

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 81-86

Abstract:

With research into the fundamental ideas of self tuning control, fuzzylogic and iterative learning control (ILC), this paper provides a new type of fuzzy iterative learningcontrol strategy to reduce the seismic response of tall building.It improves the robustness of the iterative learning control.The result of simulation shows that fuzzy iterative learning control strategy can control the seismic

Keywords： tall building     seismic response     iterative learning control     fuzzy control    

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Analysis of Control Performance of ECS in Fighter Plane

Yao Hongwei,Wang Jun

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 44-47

Abstract:

Based on the characteristics of the ECS, pulse width-fuzzy control concept was put forward.Four models, pulse width regulating, PID control, fuzzy control and combined control, were establishedwith Fuzzy and Simulink tool boxes in MATLAB.between the temperatures of mixed flow and the objective and its change rate were the input in the fuzzysystem, and the output, the control signal, was obtained by fuzzy reasoning.

Keywords： airplane     environmental control     fuzzy control     simulation    

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Simulation Research of Temperature Control System in Air-Conditioned Coach

Yu Meichun,Zhang Dengchun

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 83-88

Abstract:

The issue studies, in virtue of simulation, temperature control system in air-conditioned coach byfuzzy and PID control methods.And PID control can only suit for air conditioning condition with small variation.For the condition with big variation and time delay, fuzzy control can track the load changes and obtaina better synthetic control quality than PID.

Keywords： air-conditioned coach     temperature control     fuzzy control     simulation    

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An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 104-111

Abstract:

 In networked control systems(NCSs),a fuzzy logic modulator,whichrelationship of one-dimensional input and one-dimensional output,is designed for the dynamic management of controlBy adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirementinequalities and the restrained resource conditions.Finally, normalizable criterions of the quality of controlOn those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional

Keywords： fuzzy bandwidth management     networked control systems     quality of control     requirement ofbandwidth    

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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: The APF control strategy is based on the use of self-tuning filters (STF) for reference current generationand a fuzzy logic 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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Title Author Date Type Operation

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

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

Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

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

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

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

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

Yajvender Pal VERMA, Ashwani KUMAR

Journal Article

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

Abdelhak DIDA,Djilani BEN ATTOUS

Journal Article

Fuzzy cascade control based on control’s history for superheated temperature

WANG Guangjun, LI Gang, SHEN Shuguang

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

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

Salim CHENNAI,M-T BENCHOUIA

Journal Article

Fuzzy iterative learning control and numerical simulation of tall building seismic response control

Wang Quan,Wang Jianguo,Zhang Mingxiang

Journal Article

Analysis of Control Performance of ECS in Fighter Plane

Yao Hongwei,Wang Jun

Journal Article

Simulation Research of Temperature Control System in Air-Conditioned Coach

Yu Meichun,Zhang Dengchun

Journal Article

An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

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