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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    

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Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 48-53

Abstract:

An on-line tracking self-learning algorithm for fuzzy basis function

Keywords： fuzzy basis function     self-learning     fault diagnosis    

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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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.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    

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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 controllerwith self-optimizing parameters is proposed and applied into the temperature control of the system.weighting 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 controller

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

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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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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)    

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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    

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A combination weighting model based on iMOEA/D-DE Research Article

Mingtao DONG, Jianhua CHENG, Lin ZHAO,hbdmt@hrbeu.edu.cn,chengjianhua@hrbeu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 604-616 doi: 10.1631/FITEE.2000545

Abstract: This paper proposes a (CW) model based on i (i.‍e., improved multiobjective evolutionary algorithm based on decomposition with differential evolution) with the aim to accurately compute the weight of evaluation methods. Multi-expert weight considers only subjective weights, leading to poor objectivity. To overcome this shortcoming, a multiobjective optimization model of CW based on improved is proposed while considering the uncertainty of combination coefficients. An improved mutation operator is introduced to improve the convergence speed, and thus better optimization results are obtained. Meanwhile, an adaptive mutation constant and crossover probability constant with are proposed to improve the robustness of . Since the existing weight evaluation approaches cannot evaluate weights separately, a new weight evaluation approach based on is presented. Taking the evaluation method of integrated navigation systems as an example, certain experiments are carried out. It is proved that the proposed algorithm is effective and has excellent performance.

Keywords： Combination weighting     MOEA/D-DE     Game theory     Self-learning ability     Relative entropy    

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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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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Data-based methods of supervised learning have gained popularity because of available Big Data and computingHowever, the common paradigm of the loss function in supervised learning requires large amounts of labeledTherefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its compressiveIn the machine learning (ML) approach to estimating the CS of FRSCC, the current research gaps include

Keywords： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

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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: 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)    

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Assessment of different machine learning techniques in predicting the compressive strength of self-compacting

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 928-945 doi: 10.1007/s11709-022-0837-x

Abstract: The compressive strength of self-compacting concrete (SCC) needs to be determined during the constructionstrength of SCC (CS of SCC) can be successfully predicted from mix design and curing age by a machine learning

Keywords： compressive strength     self-compacting concrete     machine learning techniques     particle swarm optimization    

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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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Title Author Date Type Operation

The Design of a Valve Positioner System Based on ARM Microcontroller

Wu Aiguo,Wang Lishi

Journal Article

Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

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

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

A combination weighting model based on iMOEA/D-DE

Mingtao DONG, Jianhua CHENG, Lin ZHAO,hbdmt@hrbeu.edu.cn,chengjianhua@hrbeu.edu.cn

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

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Journal Article

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

Yajvender Pal VERMA, Ashwani KUMAR

Journal Article

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

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