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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

《能源前沿（英文）》 2013年 第7卷 第3期   页码 307-316 doi: 10.1007/s11708-013-0269-3

摘要： In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlled series capacitor (TCSC) to improve power system damping. For controller design, memberships of system variables were represented using interval type-2 fuzzy sets. The three-dimensional membership function of type-2 fuzzy sets provided additional degree of freedom that made it possible to directly model and handle uncertainties. Simulations conducted on a single machine infinite bus (SMIB) power system showed that the proposed controller was more effective than particle swarm optimization (PSO) tuned and type-1 fuzzy logic (T1FL) based damping controllers. Robust performance of the proposed controller was also validated at different operating conditions, various disturbances and parameter variation of the transmission line parameters.

关键词： power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     interval type-2 fuzzy logic controller (IT2FLC)    

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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

《信息与电子工程前沿（英文）》 2016年 第17卷 第3期   页码 237-249 doi: 10.1631/FITEE.1500198

摘要： We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.

关键词： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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探测高超声速滑翔飞行器的区间二型模糊逻辑雷达任务优先级分配方法 Research Articles

孟繁卿1,田康生2

《信息与电子工程前沿（英文）》 2022年 第23卷 第3期   页码 488-501 doi: 10.1631/FITEE.2000560

摘要： 针对相控阵雷达探测临近空间高超声速滑翔飞行器时的资源管理问题，设计了一种基于区间二型模糊逻辑系统的雷达任务优先级分配方法。详细阐述了雷达任务数学模型、高超声速滑翔目标的运动模型和探测模型。将高超声速滑翔飞行器的目标威胁划分为机动威胁、速度威胁、方位威胁和距离威胁。此方法中，机动因子、速度、方位、距离和初始优先级为输入变量，雷达任务优先级为输出变量。为减少模糊规则数、避免规则爆炸，设计了分层结构的区间二型模糊逻辑系统。最后，通过仿真验证该方法可行性。结果表明，基于区间二型模糊逻辑系统的任务优先级分配方法具有更高的精确跟踪率、平均初始优先级和目标威胁度以及更短的偏移时间。

关键词： 高超声速滑翔飞行器；相控阵雷达；区间二型模糊逻辑系统；优先级分配    

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New practice in semaglutide on type-2 diabetes and obesity: clinical evidence and expectation

《医学前沿（英文）》 2022年 第16卷 第1期   页码 17-24 doi: 10.1007/s11684-021-0873-2

摘要： Obesity is an important risk factor of type 2 diabetes (T2D), which has become an important factor threatening human health. However, no perfect drug choice for obesity exists. Semaglutide is a kind of human glucagon-like peptide-1 (GLP-1) analog that promotes insulin secretion while inhibiting glucagon secretion through a glucose concentration-dependent mechanism. GLP-1 can also delay stomach emptying and suppress appetite to help lose weight. This review summarizes clinical evidence of the semaglutide effect on T2D and obesity and establishes expectations on future clinical trials for obesity treatment.

关键词： semaglutide     type 2 diabetes     obesity    

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每个输入具有两个非线性模糊集合的区间二型模糊控制器解析结构的推导与分析 Article

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

《信息与电子工程前沿（英文）》 2016年 第17卷 第6期   页码 587-602 doi: 10.1631/FITEE.1601019

摘要： 二型模糊控制器一直被视为“黑盒”，因此揭示二型模糊控制器的解析结构不仅能够加深对二型模糊控制器内部工作原理的理解，而且能够对控制器进行更加系统的分析和设计。本文推导并分析了一种区间二型模糊控制器的解析结构。该区间二型模糊控制器具有以下结构特点：每个输入采用两个非线性区间二型模糊集合模糊化、规则后件为区间二型单点模糊集合、扎德AND算子和Karnik-Mendel(KM)降型器。其次，通过将区间二型模糊控制器的输入空间划分为15个分区并推导每个分区上的输入输出关系，证明文中区间二型模糊控制器近似等效为具有变增益的非线性PI或PD控制器。再者，通过与对应一型模糊控制器的解析结构进行对比，分析了文中区间二型模糊控制器的潜在优势。最后，通过仿真和实验验证了理论分析结果的可靠性和文中区间二型模糊集合的有效性。

关键词： 区间二型模糊控制器；解析结构；Karnik-Mendel降型    

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Impact of wind power generating system integration on frequency stabilization in multi-area power systemwith fuzzy logic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

《能源前沿（英文）》 2015年 第9卷 第1期   页码 7-21 doi: 10.1007/s11708-014-0338-2

摘要： Among the available options for renewable energy integration in existing power system, wind power is being considered as one of the suited options for future electrical power generation. The major constraint of wind power generating system (WPGS) is that it does not provide inertial support because of power electronic converters between the grid and the WPGS to facilitate frequency stabilization. The proposed control strategy suggests a substantial contribution to system inertia in terms of short-term active power support in a two area restructured power system. The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quick active power support, which balances the drop in frequency and tie-line power during transient conditions. This paper presents a comprehensive study of the wind power impact with increasing wind power penetration on frequency stabilization in restructured power system scenario. Variation of load conditions are also analyzed in simulation studies for the same power system model with the proposed control scheme. Simulation results advocates the justification of control scheme over other schemes.

关键词： two area power system     automatic generation control     wind power generating system (WPGS)     deregulated environment     fuzzy logic controller (FLC)    

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

Abdelhak DIDA,Djilani BENATTOUS

《能源前沿（英文）》 2016年 第10卷 第2期   页码 143-154 doi: 10.1007/s11708-016-0402-1

摘要： The current paper talks about the variable speed wind turbine generation system (WTGS). So, the WTGS is equipped with a doubly-fed induction generator (DFIG) and two bidirectional converters in the rotor open circuit. A vector control (VC) of the rotor side converter (RSC) offers independent regulation of the stator active and reactive power and the optimal rotational speed tracking in the power maximization operating mode. A VC scheme for the grid-side converter (GSC) allows an independent regulation of the active and reactive power to exchange with the grid and sinusoidal supply currents and keeps the DC-link voltage constant. A fuzzy inference system (FIS) is adopted as an alternative of the conventional proportional and integral (PI) controller to reject some uncertainties or disturbance. The performances have been verified using the Matlab/Simulink software.

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

《能源前沿（英文）》 2014年 第8卷 第1期   页码 81-89 doi: 10.1007/s11708-014-0295-9

摘要： In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for high performance AC drives is proposed. The error vector computation is made based on the rotor-flux derived from the reference and the adaptive model of the induction motor. The 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. For powering the drive system, a standalone photovoltaic (PV) energy source is used. To extract the maximum power from the PV source, a constant voltage controller (CVC) is also proposed. The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different operating conditions.

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

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

Abdelhak DIDA,Djilani BEN ATTOUS

《能源前沿（英文）》 2015年 第9卷 第3期   页码 272-281 doi: 10.1007/s11708-015-0363-9

摘要： The purpose of this paper is to improve the control performance of the variable speed, constant frequency doubly-fed induction generator in the wind turbine generation system by using fuzzy logic controllers. The control of the rotor-side converter is realized by stator flux oriented control, whereas the control of the grid-side converter is performed by a control strategy based on grid voltage orientation to maintain the DC-link voltage stability. An intelligent fuzzy inference system is proposed as an alternative of the conventional proportional and integral (PI) controller to overcome any disturbance, such as fast wind speed variation, short grid voltage fault, parameter variations and so on. 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 for direct and quadratic rotor currents components control loops. The performances have been tested on 1.5 MW doubly-fed induction generator (DFIG) in a Matlab/Simulink software environment.

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

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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

《机械工程前沿（英文）》 2021年 第16卷 第2期   页码 353-362 doi: 10.1007/s11465-020-0620-4

摘要： This study proposes a gained switching-based discrete-time sliding mode control method to address the chattering issue in disturbed discrete-time systems, which suffer from various unknown uncertainties. Through the new structure of the designed reaching law, the proposed method can effectively increase the convergence speed while guaranteeing chattering-free control. The performance of controlling underactuated robotic systems can be further improved by the adoption of fuzzy logic to perform adaptive online hyper-parameter tuning. In addition, an underactuated robotic system with uncertainties is studied to validate the effectiveness of the proposed reaching law. Results reveal the dynamic performance and robustness of the proposed reaching law in the studied system and prove the proposed method’s superiority over other state-of-the-art methods.

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

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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

《能源前沿（英文）》 2019年 第13卷 第1期   页码 131-148 doi: 10.1007/s11708-017-0446-x

摘要： Photovoltaic (PV) generation is growing increasingly fast as a renewable energy source. Nevertheless, the drawback of the PV system is intermittent because of depending on weather conditions. Therefore, the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected mode. In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine is presented. In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) method is applied in the PV system. The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods. The pitch angle of the wind turbine is controlled by radial basis function network-sliding mode (RBFNSM). Different conditions are represented in simulation results that compare the real power values with those of the presented methods. The obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness, fast response and good performance. Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink.

关键词： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

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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

《工程管理前沿（英文）》 2021年 第8卷 第1期   页码 32-47 doi: 10.1007/s42524-019-0082-8

摘要： Innovation and knowledge diffusion in megaprojects is one of the most complicated issues in project management. Compared with conventional projects, megaprojects typically entail large-scale investments, long construction periods, and conflicting stakeholder interests, which result in a distinctive pattern of innovation diffusion. However, traditional investigation of innovation diffusion relies on subjective feedback from experts and frequently neglects inter-organizational knowledge creation, which frequently emerges in megaprojects. Therefore, this study adopted project network theory and modeled innovation diffusion in megaprojects as intra- and inter-organizational learning processes. In addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options as quantitative coefficients of the project network model. This integrated model will assist in developing an insightful understanding of the mechanisms of innovation diffusion in megaprojects. Three typical network structures, namely, a traditional megaproject procurement organization (TMO), the environ megaproject organization (EMO), and an integrated megaproject organization (IMO), were examined under six management scenarios to verify the proposed analytic paradigm. Assessment of project network productivity suggested that the projectivity of the TMO was insensitive to technical and administrative innovations, the EMO could achieve substantial improvement from technical innovations, and the IMO trended incompatibly with administrative innovations. Thus, industry practitioners and project managers can design and reform agile project coordination by using the proposed quantitative model to encourage innovation adoption and reduce productivity loss at the start of newly established collaborations.

关键词： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

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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

《能源前沿（英文）》 2013年 第7卷 第1期   页码 49-55 doi: 10.1007/s11708-012-0217-7

摘要： This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIG) for a wind power generation systems. The DFIG structure control has a six diode rectifier and a PWM IGBT converter in order to control the power outputs of the DFIG driven by wind turbine. So, to supply commercially the electrical power to the grid without any problems related to power quality, the active and reactive powers ( , ) at the stator side of the DFIG are strictly controlled at a required level, which, in this paper, is realized with an optimized fuzzy logic controller based on the grid flux oriented control, which gives an optimal operation of the DFIG in sub-synchronous region, and the control of the stator power flow with the possibility of keeping stator power factor at a unity.

关键词： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor unity     active and reactive power    

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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

《能源前沿（英文）》 2014年 第8卷 第2期   页码 212-220 doi: 10.1007/s11708-013-0284-4

摘要： In this paper, a five-level inverter is used as a shunt active power filter (APF), taking advantages of the multilevel inverter such as low harmonic distortion and reduced switching losses. It is used to compensate reactive power and eliminate harmonics drawn from a thyristor rectifier feeding an inductive load (RL) under distorted voltage conditions. The APF control strategy is based on the use of self-tuning filters (STF) for reference current generation and a fuzzy logic current controller. The use of STF instead of classical extraction filters allows extracting directly the voltage and current fundamental components in the - axis without phase locked loop (PLL). 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 with low harmonic distortion and in phase with the line voltage.

关键词： active power filter (APF)     harmonics isolator     distorted voltage conditions     self-tuning filters (STF)     fuzzy logic 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

《能源前沿（英文）》 2014年 第8卷 第4期   页码 464-479 doi: 10.1007/s11708-014-0307-9

摘要： Dynamic voltage restorer (DVR) is used to protect sensitive loads from voltage disturbances of the distribution generation (DG) system. In this paper, a new control approach for the 200 kW solar photovoltaic grid connected system with perturb and observe maximum power point tracking (MPPT) technique is implemented. Power quality improvement with comparison is conducted during fault with proportional integral (PI) and artificial intelligence-based fuzzy logic controlled DVR. MPPT tracks the actual variable DC link voltage while deriving the maximum power from a photovoltaic array and maintains DC link voltage constant by changing modulation index of the converter. Simulation results during fault show that the fuzzy logic based DVR scheme demonstrates simultaneous exchange of active and reactive power with less total harmonic distortion (THD) present in voltage source converter (VSC) current and grid current with fast tracking of optimum operating point at unity power factor. Standards (IEEE-519/1547), stipulates that the current with THD greater than 5% cannot be injected into the grid by any distributed generation source. Simulation results and validations of MPPT technique and operation of fuzzy logic controlled DVR demonstrate the effectiveness of the proposed control schemes.

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

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标题 作者 时间 类型 操作

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

期刊论文

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

期刊论文

探测高超声速滑翔飞行器的区间二型模糊逻辑雷达任务优先级分配方法

孟繁卿1,田康生2

期刊论文

New practice in semaglutide on type-2 diabetes and obesity: clinical evidence and expectation

期刊论文

每个输入具有两个非线性模糊集合的区间二型模糊控制器解析结构的推导与分析

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

期刊论文

Impact of wind power generating system integration on frequency stabilization in multi-area power systemwith fuzzy logic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

期刊论文

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

Abdelhak DIDA,Djilani BENATTOUS

期刊论文

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

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

期刊论文

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

Abdelhak DIDA,Djilani BEN ATTOUS

期刊论文

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

Hui LI, Ruiqin LI, Jianwei ZHANG

期刊论文

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

期刊论文

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

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

期刊论文

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

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

期刊论文

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

Amar BENAISSA,Boualaga RABHI,Ammar MOUSSI

期刊论文

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

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

期刊论文