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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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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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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: To precisely implement the force control of robot manipulators in an unknown environment, a control strategybased on fuzzy prediction of the reference trajectory in the impedance model is developed.The corresponding force control results are compared and analyzed.and rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzyforce control algorithm has high adaptability to the unknown environment.

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: The process offers several special privileges such as higher machining rate, better accuracy and controlvoltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyFinally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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The research and design of intelligent autonomous tracing car measurement and control system

Wang Ling,Zhang Qiang and Li Xuemei

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 92-98

Abstract:

Measurement and control system for intelligent car is one of the key technologies in the design ofTake Freescale M9S12XS128microprocessor as the control core of the car，and infrared optical sensor toExcellent control algorithm plays a key role for intelligent car tracing accuracy and stability.This paper uses fuzzy proportion-integration-differentiation（PID）control strategy to control direct current（DC）motor speed，using double P control algorithm to control the steering of the intelligent car steering

Keywords： intelligent car     measurement and control system     fuzzy PID control     double P control algorithm    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.amplitude is adjusted step by step, which greatly improves the colony diversity of the immune evolution algorithmThe experimental results show that the method not only can correctly detect the fuzzy edge and exiguousedge but can evidently improve the searching efficiency of fuzzy clustering algorithm based on IEA.

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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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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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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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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Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: servo platform, this paper presents an improved grey prediction proportional integral derivative (PID) controlalgorithm.Different weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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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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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

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

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

The research and design of intelligent autonomous tracing car measurement and control system

Wang Ling,Zhang Qiang and Li Xuemei

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

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

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

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

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

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