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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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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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一种控制规则自调整的模糊控制器

程金,张承慧,夏东伟

《中国工程科学》 2003年 第5卷 第9期   页码 78-81

摘要：

根据模糊控制理论和实际工程经验，设计了一个控制规则能够自调整的模糊控制器，详细介绍了该模糊控制器的控制原理和运行机制，并作出了仿真。该模糊控制器控制精度高，动态和稳态性能均优于传统的PID和基本模糊控制器，且具有较好的鲁棒性和抗扰动能力。仿真和工程实践证明，该模糊控制器具有简便、稳定的优点，且易于工程实现，具有较高的工程应用价值。

关键词： 模糊控制     控制规则自调整     自适应    

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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

《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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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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参数自寻优模糊控制器在中央空调温度控制系统中的应用

吴爱国,杜春燕,宋晓强

《中国工程科学》 2004年 第6卷 第11期   页码 84-87

摘要：

在中央空调温度控制系统中设计应用了一种参数自寻优模糊控制器。针对中央空调温度控制系统被控对象非线性、大滞后和时变等特点，该模糊控制器在规则可调整模糊控制器基础上引入了加权因子α和比例因子Ku的在线调整优化算法。运行结果表明，这种算法增强了系统的鲁棒性，在不同工作条件下，系统保持了良好的控制品质。

关键词： 中央空调系统     温度控制     模糊控制器     参数自寻优    

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

Yajvender Pal VERMA, Ashwani KUMAR

《能源前沿（英文）》 2013年 第7卷 第2期   页码 245-254 doi: 10.1007/s11708-012-0218-6

摘要： This paper presents the analysis of load frequency control (LFC) of a deregulated two-area hydro-thermal power system using fuzzy logic controller, with doubly fed induction generators (DFIGs) integrated into both the control areas. The deregulation of power sector has led to the formation of new companies for generation, transmission and distribution of power. The conventional two-area power system is modified to study the effects of the bilateral contracts of companies on the system dynamics. Deregulation creates highly competitive and distributed control environment, and the LFC becomes even more challenging when wind generators are also integrated into the system. The overall inertia of the system reduces, as the wind unit does not provide inertia and isolates from the grid during disturbances. The DFIGs integrated provide inertial support to the system through modified inertial control scheme, and arrests the initial fall in frequency after disturbance. The inertial control responds to frequency deviations, which takes out the kinetic energy of the wind turbine for improving the frequency response of the system. To enhance the participation of the doubly fed induction generator (DFIG) in the frequency control, optimal values of the speed control parameters of the DFIG-based wind turbine have been obtained using integral square error (ISE) technique. The dynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzy controller.

关键词： frequency regulation     fuzzy controller     de-regulated power system     doubly fed induction generator (DFIG)     bilateral contract    

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智能阀门定位系统的设计

吴爱国,王立石

《中国工程科学》 2005年 第7卷 第4期   页码 69-73

摘要：

介绍了一种基于ARM的智能阀门定位系统的硬件设计和定位控制方法。其中应用Philips公司的带CAN总线接口的ARM控制器作为系统的控制核心，既满足了现场实时数据的采集、计算和处理，又可以通过CAN总线使得阀门控制器和控制中心保持实时通信；控制策略采用带智能积分的自学习模糊控制算法，提高了系统的定位精度和智能化水平。

关键词： ARM     控制器     CAN总线     智能积分     自学习模糊控制    

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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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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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power capture optimization based sensorless maximum power point tracking strategy and internal model controller

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

《能源前沿（英文）》 2019年 第13卷 第4期   页码 742-756 doi: 10.1007/s11708-017-0462-x

摘要： Under the trends to using renewable energy sources as alternatives to the traditional ones, it is important to contribute to the fast growing development of these sources by using powerful soft computing methods. In this context, this paper introduces a novel structure to optimize and control the energy produced from a variable speed wind turbine which is based on a squirrel cage induction generator (SCIG) and connected to the grid. The optimization strategy of the harvested power from the wind is realized by a maximum power point tracking (MPPT) algorithm based on fuzzy logic, and the control strategy of the generator is implemented by means of an internal model (IM) controller. Three IM controllers are incorporated in the vector control technique, as an alternative to the proportional integral (PI) controller, to implement the proposed optimization strategy. The MPPT in conjunction with the IM controller is proposed as an alternative to the traditional tip speed ratio (TSR) technique, to avoid any disturbance such as wind speed measurement and wind turbine (WT) characteristic uncertainties. Based on the simulation results of a six KW-WECS model in Matlab/Simulink, the presented control system topology is reliable and keeps the system operation around the desired response.

关键词： power optimization     wind energy conversion system     maximum power point tracking (MPPT)     fuzzy logic     internal model (IM) controller    

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

Salim CHENNAI,M-T BENCHOUIA

《能源前沿（英文）》 2014年 第8卷 第2期   页码 221-239 doi: 10.1007/s11708-014-0317-7

摘要： 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 proposed UPQC is capable of mitigating source current harmonics and compensate all voltage disturbances such as voltage sags, swells, unbalances and harmonics. It is designed by the integration of series and shunt active filters (AFs) sharing a common DC bus capacitor. The DC voltage is maintained constant using proportional integral voltage controller. The synchronous reference frame (SRF) theory is used to get the reference signals for shunt active power filters (APFs) and the power reactive theory (p-q theory) for series APFs. The shunt and series APF reference signals derived from the control algorithm and sensed signals are injected in two controllers to generate switching signals. To improve the UPQC capability, fuzzy logic techniques are introduced to control the series APF. The performances of the proposed UPQC system are evaluated in terms of power factor correction, mitigation of voltage or current harmonics and all other voltage disturbances compensation using Matlab-Simulink software and SimPowerSystem toolbox. The simulation results illustrate the performance of the proposed UPQC at the common connection point of the nonlinear load to improve the power energy quality.

关键词： three-level neutral point clamped (NPC) inverter     unified power quality conditioner (UPQC)     current harmonics mitigation     fuzzy logic controller     voltage disturbance compensation     shunt active filter     series active filter     power quality energy improvement    

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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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基于自适应网络模糊推理系统的移动机器人导航控制器 Research Article

Panati SUBBASH, Kil To CHONG

《信息与电子工程前沿（英文）》 2019年 第20卷 第2期   页码 141-151 doi: 10.1631/FITEE.1700206

摘要： 在障碍物高度杂乱的未知环境中自主导航是移动机器人研究的一个基本问题。提出一种基于自适应网络模糊推理系统（ANFIS）的差分驱动移动机器人导航控制器，用超声波传感器捕捉移动机器人周围的环境信息。设计了一个基于模糊逻辑的导航控制器，用于获取数据集训练ANFIS控制器。在移动机器人导航过程中，考虑到环境噪声对传感器读数的影响，将加性高斯白噪声添加到传感器读数中并反馈给已训练的ANFIS控制器。在3种不同环境下对移动机器人进行导航，评价该导航控制器的鲁棒性。通过与已有移动机器人导航控制器（如神经网络、模糊逻辑）比较行程长度、行程效率、弯曲能量，验证ANFIS控制器性能。仿真结果表明，与其他控制器相比，ANFIS控制器具有更好性能，能够在不同环境中顺利导航且不与障碍物发生碰撞。

关键词： 自适应网络模糊推理系统；加性高斯白噪声；自主导航；移动机器人    

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Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

《能源前沿（英文）》 2015年 第9卷 第4期   页码 413-425 doi: 10.1007/s11708-015-0379-1

摘要： The problem of state feedback controllers for a class of Takagi-Sugeno (T-S) Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the differential mean value theorem (DMVT) and convex theory. The proposed design approach is based on the mean value theorem (MVT) to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as linear parameter varying (LPV) systems. Using the Lyapunov theory, stability conditions are obtained and expressed in terms of linear matrix inequalities (LMIs). The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for closed loop-field oriented control (CL-FOC) of permanent magnet synchronous machine (PMSM) drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.

关键词： Takagi-Sugeno (T-S) fuzzy systems     sector nonlinearity     nonlinear controller     linear matrix inequality (LMI) approach     differential mean value theorem (DMVT)     field oriented control (FOC)     linear parameter varying (LPV)    

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标题 作者 时间 类型 操作

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

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

一种控制规则自调整的模糊控制器

程金,张承慧,夏东伟

期刊论文

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

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

参数自寻优模糊控制器在中央空调温度控制系统中的应用

吴爱国,杜春燕,宋晓强

期刊论文

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

Yajvender Pal VERMA, Ashwani KUMAR

期刊论文

智能阀门定位系统的设计

吴爱国,王立石

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

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

Abdelhak DIDA,Djilani BENATTOUS

期刊论文

power capture optimization based sensorless maximum power point tracking strategy and internal model controller

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

期刊论文

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

Salim CHENNAI,M-T BENCHOUIA

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

基于自适应网络模糊推理系统的移动机器人导航控制器

Panati SUBBASH, Kil To CHONG

期刊论文

Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

期刊论文