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induction motor 9

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vector control 6

doubly fed induction generator (DFIG) 5

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maximum power point tracking (MPPT) 4

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direct torque control (DTC) 2

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Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task. Its success will directly act on the construction of large knowledge base, and, at present, it is important to the solving of the bottleneck of machine study—discovering knowledge. The main work of this paper is: The inductive structure of KDK based on the facts in knowledge base, and its algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge base and its experimental verification.

Keywords: knowledge discovery based on knowledge base     induction logic of Carnap     induction logic of L. J.    

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

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 (DFIGstrictly controlled at a required level, which, in this paper, is realized with an optimized fuzzy logic

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

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: this paper is to improve the control performance of the variable speed, constant frequency doubly-fed inductiongenerator in the wind turbine generation system by using fuzzy logic controllers.Five 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 forThe performances have been tested on 1.5 MW doubly-fed induction generator (DFIG) in a Matlab/Simulink

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

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: So, the WTGS is equipped with a doubly-fed induction generator (DFIG) and two bidirectional converters

Keywords: wind turbine generation system (WTGS)     doubly-fed induction generator (DFIG)     maximum power point tracking(MPPT)     vector control (VC)     fuzzy logic controller (FLC)    

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 highcomputation is made based on the rotor-flux derived from the reference and the adaptive model of the inductionThe 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    

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: In this paper, three intelligent approaches were proposed, applied to direct torque control (DTC) of inductionmotor drive to replace conventional hysteresis comparators and selection table, namely fuzzy logic,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 logic     induction motor    

Design of a novel RTD-based three-variable universal logic gate

Mao-qun YAO,Kai YANG,Cong-yuan XU,Ji-zhong SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 694-699 doi: 10.1631/FITEE.1500102

Abstract: The threshold logic gate has attracted much attention because of its powerful logic function.The resonant tunneling diode (RTD) is well suited for implementing the threshold logic gate because ofOn this basis, a novel three-variable universal logic gate (ULG3) is proposed, composed of two RTD-baseduniversal threshold logic gates (UTLG) and an RTD-based three-variable XOR gate (XOR3).Thus, the proposed ULG3 provides a new efficient universal logic gate to implement RTD-based arbitrary

Keywords: Resonant tunneling diode (RTD)     Threshold logic gate     Reed-Muller expansion     Universal logic gate    

Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 16-26 doi: 10.1007/s11708-018-0572-0

Abstract: The tundish induction heating power supply (TIHPS) is one of the most important equipment in the continuous

Keywords: tundish induction heating power supply (TIHPS)     constant temperature control     input harmonic current blocking    

Brown and beige fat: the metabolic function, induction, and therapeutic potential

Shuwen Qian,Haiyan Huang,Qiqun Tang

Frontiers of Medicine 2015, Volume 9, Issue 2,   Pages 162-172 doi: 10.1007/s11684-015-0382-2

Abstract:

Adipose tissue is an important organ for energy homeostasis. White adipose tissue stores energy in the form of triglycerides, whereas brown adipocytes and recently identified beige adipocytes are specialized in dissipating energy by thermogenesis or contribution to dispose glucose and clear triglycerides in blood. The inverse correlation between the brown adipose tissue activity and body mass suggests its protective role against body fat accumulation. Thus, recruitment and activation of brown or beige adipose tissue become particularly appealing targets for increasing energy expenditure. Angiogenesis and sympathetic nerve signals are the fundamental determinants for brown and beige adipose tissue development, as well as for their metabolic functions. Secretary factors including BMPs can induce the development, the activation of brown or beige adipose tissue, which seem to be promising for therapeutic development.

Keywords: brown adipocyte     beige adipocyte     metabolism     obesity    

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: To develop this composite load model, the exponential load is used as a static load model and induction

Keywords: isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor load    

Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 271-278 doi: 10.1007/s11708-013-0258-6

Abstract: A transient model for an induction machine with stator winding turn faults on a single phase is derived

Keywords: induction machines     fault indicator     inter-turn short-circuit fault     unbalance supply voltage    

A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 176-191 doi: 10.1007/s11708-015-0386-2

Abstract: Today, induction machines are playing, thanks to their robustness, an important role in world industriesFirst, the three-phase currents of the induction motor led to a Park’s vector.

Keywords: induction motor     incipient broken bar     extended Park’s vector approach     spectral analysis     inter-turn short-circuit    

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 321-334 doi: 10.1631/FITEE.1400170

Abstract: This paper presents a multiple target implementation technique for a doubly fed induction generator (

Keywords: Direct power control     Doubly fed induction generator     Unbalanced and distorted grid voltage     Vector proportional    

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 controlledproposed controller was more effective than particle swarm optimization (PSO) tuned and type-1 fuzzy logic

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

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives. In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor resistance. Neural based estimators are now receiving active consideration as they have a number of advantages over conventional techniques. The training algorithm of the neural network determines its learning speed, stability, weight convergence, accuracy of estimation, speed of tracking and ease of implementation. In this paper, the neural estimator has been studied with conventional and proposed learning algorithms. The sensitivity of the rotor resistance change has been tested for a wide range of variation from -50% to+50% on the stability of the drive system with and without estimator. It is quiet appealing to settle with optimal estimation time and error for the viable realization. The study is conducted extensively for estimation and tracking. The proposed learning algorithm is found to exhibit good estimation and tracking capabilities. Besides, it reduces computational complexity and, hence, more feasible for practical digital implementation.

Keywords: neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

Title Author Date Type Operation

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

Yang Bingru,Shen Jiangtao,Chen Hongjie

Journal Article

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

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

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

Abdelhak DIDA,Djilani BEN ATTOUS

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

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

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

Design of a novel RTD-based three-variable universal logic gate

Mao-qun YAO,Kai YANG,Cong-yuan XU,Ji-zhong SHEN

Journal Article

Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Journal Article

Brown and beige fat: the metabolic function, induction, and therapeutic potential

Shuwen Qian,Haiyan Huang,Qiqun Tang

Journal Article

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Journal Article

A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Journal Article

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

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

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article