Relevant bibliographies by topics / ASYMMETRICAL FUZZY LOGIC CONTROL (AFLC)

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'ASYMMETRICAL FUZZY LOGIC CONTROL (AFLC)'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "ASYMMETRICAL FUZZY LOGIC CONTROL (AFLC)"

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Abusorrah, Abdullah M. "Optimal Power Flow Using Adaptive Fuzzy Logic Controllers." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/975170.

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This paper presents an approach for optimum reactive power dispatch through the power network with flexible AC transmission systems (FACTSs) devices, using adaptive fuzzy logic controller (AFLC) driven by adaptive fuzzy sets (AFSs). The membership functions of AFLC are optimized based on 2nd-order fuzzy set specifications. The operation of FACTS devices (particularly, static VAR compensator (SVC)) and the setting of their control parameters (QSVC) are optimized dynamically based on the proposed AFLC to enhance the power system stability in addition to their main function of power flow control.
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Elnaghi, Basem E., M. N. Abelwhab, Reham H. Mohammed, Fathy El Sayed Abdel-Kader, Ahmed M. Ismaiel, and Mohamed E. Dessouki. "The Validation and Implementation of the Second-Order Adaptive Fuzzy Logic Controller of a Double-Fed Induction Generator in an Oscillating Water Column." Electronics 13, no. 2 (2024): 291. http://dx.doi.org/10.3390/electronics13020291.

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This article presents a second-order adaptive fuzzy logic controller (SO-AFLC) to improve the performance of a grid-connected double-fed induction generator (DFIG) in an oscillating water column power plant (OWCPP). The proposed SO-AFLC was used to improve the maximum power point tracking (MPPT), DC link voltage stability, and reactive power tracking for the DFIG oscillating water column power plant. The SO-AFLC reduces oscillations, overshooting, and mean square error. The SO-AFLC improved the mean square error by 40.4% in comparison to the adaptive fuzzy logic controller (AFLC) and by 84.9%
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Sadeghi, Maryam, and Majid Gholami. "Robust Adaptive Fuzzy Logic Controllers for Intelligent Universal Transformers in ADA." Advanced Materials Research 403-408 (November 2011): 5038–44. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.5038.

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Intelligent Universal Transformer (IUT) will comprise in Advanced Distribution Automation (ADA) with a new invention in control and management in future. It evolves with a high speed traditional transformer in addition to power electronic base construction will eventuate to oil elimination, dimensional size and weight reduction. Adaptive Fuzzy Logic Control (AFLC) is an adaptive progressed method with the high system performance capability being raised even on the uncertainty conditions. It enhances system stability, improves flexibility and releases designers from precise mathematical model u
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Yordanova, Snejana, and Milen Slavov. "Stability Analysis of Model-Free Adaptive Fuzzy Logic Control System Applied for Liquid Level Control in Soda Production." Jordan Journal of Electrical Engineering 9, no. 1 (2023): 14. http://dx.doi.org/10.5455/jjee.204-1667497864.

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Efficient control of liquid level - in a carbonization column (CCl) of soda ash production plants - is a difficult task because the plants are nonlinear, subjected to disturbances and lack a reliable mathematical model. To attain such efficient control, model-free fuzzy logic controllers (FLC) based on empirical knowledge are successfully developed and implemented, and adaptation mechanisms are added to aid the FLC tuning and compensate for plant changes. However, the stability analysis - of the adaptive FLC (AFLC) systems - is a critical issue that needs addressing. For this reason, the curre
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Priyadarshi, Neeraj, Amarjeet Kr. Sharma, Akash Kumar Bhoi, S. N. Ahmad, Farooque Azam, and S. Priyam. "A Practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condi-tion." International Journal of Engineering & Technology 7, no. 2.12 (2018): 338. http://dx.doi.org/10.14419/ijet.v7i2.12.11319.

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For amelioration of tracking efficiency, the Maximum power point trackers (MPPT) are very important for photovoltaic (PV) generation. For this purpose here a reformed adaptive fuzzy logic control (FLC) MPPT tracker has been presented to enhance its overall power efficiency and gives rapid transient response under changing weather conditions. For voltage regulation at load bus, the zeta buck-boost converter has been taken for its least voltage ripple. MATLAB/SIMULINK simulation environment and dSPACE DS1104 real time control board is used to test the proposed adaptive fuzzy logic controller bas
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Rathaiah, M., P. Ram Kishore Kumar Reddy, and P. Sujatha. "Adaptive Fuzzy Controller Design for Solar And Wind Based Hybrid System." International Journal of Engineering & Technology 7, no. 2.24 (2018): 283. http://dx.doi.org/10.14419/ijet.v7i2.24.12065.

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Renewable Energy Resources plays an active role in standing against global warming and reduce the use of conventional energy sources. Hybrid systems formed by combining the renewable energy sources are efficient relatively. The intent of this paper is to furnish endurable power for frontier and far-off places with hybrid-system of architecture. The intended system embodying DFIG and solar PV based wind turbine. In solar systems, control mechanism is essential for improving the performance. This paper proposes a method of incremental conductance approach based MPPT Adaptive Fuzzy Logic Controll
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Hieu, Le Dinh, and Temkin Igor Olegovich. "Application of Adaptive PSO and Adaptive Fuzzy Logic Controllers to Speed Control PMSM Motor Servo Systems." MATEC Web of Conferences 220 (2018): 08003. http://dx.doi.org/10.1051/matecconf/201822008003.

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Three phases Permanent Magnet Synchronous Motors (PMSM) are non-linear resistors, resistance of stator winding, air gap flux, cross-coupling, saturation variable times and cogging torque in operation. Due to the nonlinear nature of PMSM, it is a challenge to control exactly the speed, torque and position. This paper presents two methods for speed control stabilization of the PMSM using the Adaptive Fuzzy Logic - Proportional Integral Derivative controller (AFL-PID) and Adaptive Particle Swarm Optimization - Proportional Integral Derivative controller (APSO-PID). The response results of the spe
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Liu, Chun-Liang, Jing-Hsiao Chen, Yi-Hua Liu, and Zong-Zhen Yang. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems." Energies 7, no. 4 (2014): 2177–93. http://dx.doi.org/10.3390/en7042177.

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Ramesh, Sundar, Vijayakumar Govindaraj, Raja Raman, Shanmugasundaram Venkatarajan, and Kamatchi Kannan Vijayarangan. "Reduced switch cascaded asymmetrical 27 level inverter-STATCOMwith fuzzy logic controller." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1288. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1288-1297.

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<p>In this study, a 27-levelinverter with a reduced switch asymmetrical cascaded H-bridge (CHB) with fuzzy logic controller (FLC) is proposed. With series connections, a low voltage converter, a middle level voltage converter, and a high voltage converter make up the static synchronous compensator (STATCOM). The configuration of the asymmetrical inverter uses trinary DCsources. To acquire switching signals for the trinary inverter-based STATCOM to compensate for real power, load voltage, reactive power, load current, and power factor under load changing conditions, FLC is constructed. Wi
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Gupta, Nikita, and Rachana Garg. "Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid." International Journal of Hydrogen Energy 42, no. 26 (2017): 16375–85. http://dx.doi.org/10.1016/j.ijhydene.2017.05.103.

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Dissertations / Theses on the topic "ASYMMETRICAL FUZZY LOGIC CONTROL (AFLC)"

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VERMA, PALLAVI. "CONTROL OF SOLAR PV SYSTEM BASED MICROGRID FOR ENHANCED PERFORMANCE." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18879.

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With the depletion of non-renewable resources and growing public awareness about the advantages of green energy, alternative renewable sources are evolving as a significant source of energy since past few years. Furthermore, the electrical grid is on the verge of a paradigm shift, from centralized power generation, transmission, and huge power grids towards distributed generation (DG). DG fundamentally uses small-scale generators like photovoltaic (PV) panels, wind turbine, fuel cells, small and micro hydropower, diesel generator set, etc., and is limited to small distribution networks t
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Chen, Po-Cheng, and 陳柏成. "Asymmetrical Fuzzy Logic Control for Photovoltaic Maximum Power Point Tracking." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/52560778913659807256.

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博士<br>國立臺灣科技大學<br>電機工程系<br>103<br>In this dissertation, an asymmetrical fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is presented. Two membership function (MF) design methodologies that can improve the effectiveness of the proposed asymmetrical FLC-based MPPT methods are then proposed. The first method can quickly determine the input MF setting values via the power–voltage (P–V) curve of solar cells under standard test conditions (STC). The second method uses the particle swarm optimization (PSO) technique to optimize the input MF
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Conference papers on the topic "ASYMMETRICAL FUZZY LOGIC CONTROL (AFLC)"

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Gupta, Nikita, Rachana Garg, and Parmod Kumar. "Asymmetrical fuzzy logic control to PV module connected micro-grid." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443356.

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Zhu Lei, Wen Xuhui, and Xue Shan. "Enhanced field-weakening strategy with an asymmetrical fuzzy logic voltage regulator." In 2009 IEEE 6th International Power Electronics and Motion Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/ipemc.2009.5157743.

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Kuang, Zhi, Bochao Du, Shouliang Han, Kaibo Li, and Shumei Cui. "Optimal Efficiency Control of Asymmetrical Fifteen Phase PMSM Based on Fuzzy Logic Control Theory." In 2018 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2018. http://dx.doi.org/10.1109/vppc.2018.8604974.

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Zigirkas, Gregory, and John Kalomiros. "Voltage control of single-phase induction motors using asymmetrical PWM and fuzzy logic." In 2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2016. http://dx.doi.org/10.1109/mocast.2016.7495119.

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Fapi, Claude Bertin Nzoundja, Patrice Wira, Martin Kamta, and Bruno Colicchio. "Design and Hardware Realization of an Asymmetrical Fuzzy Logic-based MPPT Control for Photovoltaic Applications." In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021. http://dx.doi.org/10.1109/iecon48115.2021.9589287.

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Lee, Hyeongcheol, and Masayoshi Tomizuka. "Adaptive Vehicle Traction Force Control for Intelligent Vehicle Highway Systems (IVHS)." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0315.

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Abstract This paper is concerned with robust longitudinal control of vehicles in the Intelligent Vehicle Highway Systems (IVHS) by adaptive vehicle traction force control (TFC). Two different traction force controllers, adaptive fuzzy logic control (AFLC) and adaptive sliding mode control (ASMC), are proposed and applied to the fastest stable acceleration/deceleration and robust vehicle platooning problems. The motivation for investigating adaptive techniques arises from the unknown time-varying nature of the tire/road surface interaction that governs vehicle traction. Synchronous application
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Lee, Sang Yeal, Young Jun Park, and Hyung Suck Cho. "A Neuro-Fuzzy Control of an Electro-Hydraulic Fin Position Servo System." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0549.

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Abstract The electro-hydraulic servo systems have been frequently used in the fin position servo system of a missile because of their high power and good positioning capabilities. This paper presents a neuro-fuzzy control scheme for an electro-hydraulic fin position servo system. In this paper, we have explained a fuzzy control scheme which has multidimensional and asymmetrical membership functions, and we have designed a neuro-fuzzy controller which include parameters of the fuzzy logic controller. The effectiveness of this control scheme is verified by comparison with the conventional contro
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