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Journal articles on the topic 'Fuzzy logic regulator'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Herizi, Abdelghafour Herizi, Riyadh Rouabhi, Fayssal Ouagueni, Abderrahim Zemmit, and Abdelhafid Benyounes. "A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 1 (2024): 3268–85. http://dx.doi.org/10.54021/seesv5n1-162.

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The novelty of the work proposed a new controller based on type 1 fuzzy logic and IP regulator, the new controller applies to the asynchronous machine driven by a PWM inverter. Flux-directed vector control is considered one of the most effective control methods due to its ease of design and implementation. Proportional integral (PI) controllers are used to implement this method. The controllers parameters are calculated using traditional analytical methods directly from the machine parameters. This requires rigorous calculation and a thorough understanding of all machine parameters. Improve th

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2

M., Ahmed. "Automatic Voltage Regulator based Fuzzy Logic." International Journal of Computer Applications 181, no. 36 (2019): 29–32. http://dx.doi.org/10.5120/ijca2019918330.

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3

Raza, Wasim, Dieky Adzikya, Saba Mehmood, et al. "Fuzzy Logic Speed Regulator for D.C. Motor Tuning." JTAM (Jurnal Teori dan Aplikasi Matematika) 8, no. 1 (2024): 36. http://dx.doi.org/10.31764/jtam.v8i1.16919.

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A D.C. motor's rotational speed is regulated in this study using a PID controller and a fuzzy logic controller. In contrast to the fuzzy logic controller, which uses rules based on knowledge and experience, the proportional-integral-derivative (PID) controller requires a mathematical system model. This study investigates the regulation of a DC motor's velocity using PID and fuzzy logic controllers. The PID controller utilizes a mathematical model and parameter tuning by trial and error. Still, the fuzzy logic controller (FLC) operates on rule-based knowledge, enabling it to handle the nonlinea

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4

Kuznetsov, Vladlen, Sergey Dyadun, and Valentin Esilevsky. "The control to aggregates of pumping stations using a regulator based on a neural network with fuzzy logic." E3S Web of Conferences 102 (2019): 03007. http://dx.doi.org/10.1051/e3sconf/201910203007.

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A pumping station control system is considered using a controller based on a fuzzy logic neural network. The simulation of the classical and fuzzy regulators. The possibility of the implementation of the controller in the form of an adaptive multilayer neural network is shown. The use of the theory of fuzzy sets in combination with the theory of neural networks to create a fuzzy-neural regulator to control pumping units provides a promising approach. Simulation modeling and real operation have shown that fuzzy-logic regulators have a number of advantages over classical regulators, which allow

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OUSSAMA, MOUSSA, HELLALI LALLOUANI, and BELHAMDI SAAD. "CONTRÔLE DIRECT DU COUPLE AVEC MODULATION VECTORIELLE SPATIALE UTILISANT DES RÉGULATEURS À LOGIQUE FLUUSE DE TYPE 2 À INTERVALLE D'UNE MACHINE À INDUCTION À DOUBLE ÉTOILE ALIMENTÉE PAR DEUX ONDULEURS À POINT NEUTRE À TROIS NIVEAUX SERRÉS." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 69, no. 2 (2024): 159–64. http://dx.doi.org/10.59277/rrst-ee.2024.2.7.

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This paper introduces a direct torque control (DTC) method with space vector modulation (SVM) using interval type-2 fuzzy logic regulators for a dual-star induction machine fed by two three-level neutral point clamped inverters. The conventional DTC drive utilizes a pair of hysteresis comparators, which can lead to issues such as high torque ripple and variable switching frequency. As a result, we introduce several alternative methods, including DTC-SVM. We replace the hysteresis comparators with two Proportional-Integral (PI) regulators to enhance DTC performance, which generates the direct a

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Kuchmustenko, O. V., M. V. Shavranskyi, B. S. Nezamay, and O. G. Malko. "SYNTHESIS OF GAS TURBINE ENGINE CONTROL SYSTEM BASED ON FUZZY LOGIC." METHODS AND DEVICES OF QUALITY CONTROL, no. 1(46) (June 28, 2021): 53–62. http://dx.doi.org/10.31471/1993-9981-2021-1(46)-53-62.

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The synthesis of the fuzzy regulator of the rotor speed control system of a gas turbine engine is presented in the work. The results of mathematical modeling of a system with a digital fuzzy controller, which form a control effect on a non-stationary control object, are demonstrated. A comparative assessment of adaptive control based on fuzzy logic (FD) of the considered nonstationary object is given. A comparative evaluation of the work, which is characterized by the current error of the adaptive control system and the system calculated on the basis of NL, allows us to conclude that the use o

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Saeed Majeed, Wafaa, Amal Ibrahem Nasser, and Kassim Rasheed Hameed. "Improve the performance of automatic voltage regulator for power system using self-tuning fuzzy-PID controller." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1247. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1247-1257.

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The optimal design of the automatic voltage regulators for a synchronous machine are positively reflected on the quality of voltage stability. This paper is concerned with the design of an AVR by adopting three control techniques. The first one was designed according to the traditional proportional integration-derived (PID) controller while the fuzzy logic was adopted in design the second powerful controller, finally the fuzzy PID controller for an automatic voltage regulator (AVR) based on fuzzy logic technology, selftuning fuzzy proportional integration-derived (STFPID) have been designed to

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8

Wafaa, Saeed Majeed, Ibrahim Nasser Amal, and Rasheed Hameed Kassim. "Improve the performance of automatic voltage regulator for power system using self-tuning fuzzy-PID controller." Improve the performance of automatic voltage regulator for power system using self-tuning fuzzy-PID controller 29, no. 3 (2023): 1247–57. https://doi.org/10.11591/ijeecs.v29.i3.pp1247-1257.

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The optimal design of the automatic voltage regulators for a synchronous machine are positively reflected on the quality of voltage stability. This paper is concerned with the design of an AVR by adopting three control techniques. The first one was designed according to the traditional proportional integration-derived (PID) controller while the fuzzy logic was adopted in design the second powerful controller, finally the fuzzy PID controller for an automatic voltage regulator (AVR) based on fuzzy logic technology, selftuning fuzzy proportional integration-derived (STFPID) have been designed to

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9

Kozlov, Serhii, Olena Levon, Nataliya Kuzmenko, and Serhii Rymar. "FEATURES OF DESIGNING FUZZY REGULATORS IN THE COMPOSITION OF AUTOMATIC CONTROL SYSTEMS OF SEMICONDUCTOR COMPENSATORS." Energy saving. Power engineering. Energy audit., no. 11-12(153-154) (May 9, 2021): 47–52. http://dx.doi.org/10.20998/2313-8890.2020.11.06.

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The article discusses the design features of fuzzy controllers as part of automatic control systems for semiconductor compensators. Tendencies to the use of fuzzy logic and neural networks to solve problems with a large number of variables that are random are analyzed. The functional scheme of the automatic control system on the basis of fuzzy logic is considered. Some features of the fuzzy regulator are given. Questions of optimization of parameters of digital fuzzy controllers are investigated. The importance of the choice of the method of parametric adjustment of the fuzzy controller is sho

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Antipin, A. F., and E. V. Antipina. "Multidimensional Multi-Connected Fuzzy Interval-Logic Controller." Mekhatronika, Avtomatizatsiya, Upravlenie 25, no. 2 (2024): 72–78. http://dx.doi.org/10.17587/mau.25.72-78.

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The key features and the principle of operation of a multidimensional fuzzy interval-logic controller with interconnected adjustable parameters developed by the authors are considered. The scheme of interpretation of continuous physical quantities by an equivalent set of terms and the basic version of the block diagram of the regulator are presented. The main elements of the logical output block are described, including the block of production rules, which includes a predefined database of values of control actions on control objects in the form of ordinal numbers of terms of output continuous

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Djelamda, Imene, and Ilhem Bochareb. "Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 1892–901. http://dx.doi.org/10.11591/eei.v11i4.3818.

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Permanent magnet synchronous motor (PMSM) speed control is generally done using flux-oriented control, which uses conventional proportional-integral (PI) current regulators, but still remain the problem of calculating the coefficients of these regulators, particularly in the case of control hybridization, the development of artificial intelligence has simplified many calculations while giving more accurate, and improved results, this paper presents and compares the performance of the flux oriented control (FOC) of a PMSM powered by pulse width modulation (PWM) using PI regulator, fuzzy logic c

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Imene, Djelamda, and Bouchareb Ilhem. "Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 1892~1901. https://doi.org/10.11591/eei.v11i4.3818.

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Permanent magnet synchronous motor (PMSM) speed control is generally done using field oriented control, which uses conventional proportionalintegral (PI) current regulators, but still remain the problem of calculating the coefficients of these regulators, particularly in the case of control hybridization, the development of artificial intelligence has simplified many calculations while giving more accurate, and improved results, this paper presents and compares the performance of the flux oriented control (FOC) of a PMSM powered by pulse width modulation (PWM) using PI regulator, fuzzy logic c

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Özgüney, Ömür Can. "Lqr-Fuzzy Logic Control of a Quarter Vehicle Model." Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 27, no. 79 (2025): 15–21. https://doi.org/10.21205/deufmd.2025277903.

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In this study, a new control rule was developed using two different control methods, and the results were discussed by applying the developed controller to the quarter vehicle model. A new hybrid controller was designed by considering the advantages of Fuzzy Logic control method and Linear Quadratic Regulator (LQR) control method. Control gain coefficients used in LQR controller were determined by fuzzy logic control method. The developed new controller has been applied to the quarter vehicle model. In the results, control with only Fuzzy Logic controller and developed LQR-Fuzzy Logic controll

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14

Herizi, Abdelghafour, Abdelhafid Benyounes, Riyadh Rouabhi, Abdelghafour Boudras, Fayssal Ouagueni, and Abderrahim Zemmit. "Robust fuzzy – backstepping mode control of an induction motor." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 1 (2024): 1317–34. http://dx.doi.org/10.54021/seesv5n1-068.

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This paper presents a novel control for induction motors using backstepping control and fuzzy logic. The Backstepping control is suggested as a substitute for the conventional PI controller to attain high-performance motion control systems for the speed, flux, and current control loops. Stability analysis, based on Lyapunov theory, is also conducted to guarantee the convergence of the speed tracking error from all possible initial conditions. The speed regulator was changed to a fuzzy logic regulator. The simulation results confirm that the proposed hybrid control fuzzy-backstepping scheme off

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15

Garasumiv, V. M. "ALGORITHM OF ADJUSTMENT OF SUB-REGULATOR COEFFICIENTS WITH FUZZY LOGIC METHODS USING." METHODS AND DEVICES OF QUALITY CONTROL, no. 2(45) (December 28, 2020): 102–8. http://dx.doi.org/10.31471/1993-9981-2020-2(45)-102-108.

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The fuzzy PID tuning algorithm of proportional, integral, and derivative terms based on the fuzzy logic has been developed in the article. The fuzzy logic focuses on logic-linguistic models of representation of knowledges and it is the effective technology for creation of intellectual control systems of complex dynamic objects in the incomplete conditions. It has been researched that the fuzzy tuning algorithm of the basic coefficients for the PID controller сompared with the tuning algorithm based on the trial and error method, improved the quality of the of the transient process, namel

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16

Makarova, Elena, Stanislav Telichenko, Ildar Shakirov, et al. "THE WAYS TO IMPROVE THE SUBSIDIARY ELECTRIC DRIVE OF HIGH-SPEED ELECTRIC STOCK." Bulletin of scientific research results, no. 1 (March 17, 2018): 121–31. http://dx.doi.org/10.20295/2223-9987-2018-1-121-131.

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Objective: To improve the subsidiary electric drive of high-speed electric stock by applying asynchronous drive frequency regulator. Methods: Fuzzy logic concepts were applied for an automatic control system regulator. Results: A computer model of the regulator was developed and the results of modeling were presented in the form of optimization process of load moment stepped variation by the control system with standard and fuzzy logic controllers. Practical importance: On the basis of the introduced computer model, transient analysis is possible in automatic control system of the subsidiary e

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17

Abdul samad, Bdereddin, Mahmoud Mohamed, Fatih Anayi, and Yevgen Melikhov. "An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast)." Knowledge 2, no. 3 (2022): 465–86. http://dx.doi.org/10.3390/knowledge2030028.

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An approach to controlling the three-link Robogymnast robotic gymnast and assessing stability is proposed and examined. In the study, a conventionally configured linear quadratic regulator is applied and compared with a fuzzy logic linear quadratic regulator hybrid approach for stabilising the Robogymnast. The Robogymnast is designed to replicate the movement of a human as they hang with both hands holding the high bar and then work to wing up into a handstand, still gripping the bar. The system, therefore has a securely attached link between the hand element and the ‘high bar’, which is mount

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18

Kareem Abdullah, Ahmed, Karrar Hameed Kadhim Abdul Amir, and Baqer Turki attyia. "Enhancement of AVR response based on Intelligent Fuzzy-Swarm-PID Controller." University of Thi-Qar Journal for Engineering Sciences 8, no. 3 (2017): 30–39. http://dx.doi.org/10.31663/utjes.v8i3.95.

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Automatic voltage regulator is used to fix the output signal by correcting the voltage of the exciter and track the generator’s voltage. The improvement of automatic voltage regulator (AVR) response will reflected on the power system performance. In this paper two intelligent techniques fuzzy logic (FL) and Particle swarm optimization (PSO) are used to enhance the response of the Fourth order AVR system based on the merging between them and then the control action summed and coupled with PID controller action. Fuzzy controller has many benefits in design of AVR compared with conventional contr

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Kareem Abdullah, Ahmed, Karrar Hameed Kadhim Abdul Amir, and Baqer Turki attyia. "Enhancement of AVR Response Based on Intelligent Fuzzy-Swarm-PID Controller." University of Thi-Qar Journal for Engineering Sciences 9, no. 1 (2018): 59–63. http://dx.doi.org/10.31663/utjes.v9i1.43.

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Automatic voltage regulator is used to fix the output signal by correcting the voltage of the exciter and track the generator’s voltage. The improvement of automatic voltage regulator (AVR) response will reflected on the power system performance. In this paper two intelligent techniques fuzzy logic (FL) and Particle swarm optimization (PSO) are used to enhance the response of the Fourth order AVR system based on the merging between them and then the control action summed and coupled with PID controller action. Fuzzy controller has many benefits in design of AVR compared with conventional contr

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20

Song, Peng Yun, Ji Ye Zhang, and Ke Yue Zhang. "Simulation of BLDCM Speed Control System Based on PI Controller with Fuzzy Parameter Regulators." Applied Mechanics and Materials 29-32 (August 2010): 841–46. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.841.

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A permanent magnet brushless DC motor speed control system based on PI controller with fuzzy parameters regulators is studied in this paper. First, the simulation models of motor body, inverter, PWM and logic commutation are established, and the generators of Back-EMF and hall signal are obtained by means of s-Function to improve the simulation speed and accuracy; secondly a PI controller with fuzzy parameters regulators is given; lastly designs of the fuzzy controller and of the traditional PI controller are compared with each other by the MATLAB/SIMULINK emulation. The result shows that the

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HADIYOSO, SUGONDO, NURSANTO NURSANTO, and ACHMAD RIZAL. "Implementasi Regulator Oksigen Otomatis berdasarkan Tingkat Pernapasan menggunakan Logika Fuzzy." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 3, no. 1 (2015): 52. http://dx.doi.org/10.26760/elkomika.v3i1.52.

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ABSTRAKOtomasi perangkat kesehatan saat ini banyak dikembangkan dengan tujuan untuk mempermudah kerja manusia sekaligus efisiensi utilitas perangkat. Pada penelitian ini, diusulkan desain prototipe sebuah regulator oksigen otomatis pada sebuah alat bantu pernafasan yang berfungsi untuk mengatur tekanan atau kadar oksigen yang dikeluarkan. Kondisi ini disesuaikan dengan tingkat pernafasan pasien. Jika tingkat pernafasan pasien diatas ambang batas maka tekanan oksigen akan dinaikkan. Melaui sensor, pernafasan pasien dideteksi yang selanjutnya diolah oleh mikrokontroler untuk dihitung rate pernaf

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Reham, H. Mohammed, M. Ismaiel Ahmed, E. Elnaghi Basem, and E. Dessouki Mohamed. "African vulture optimizer algorithm based vector control induction motor drive system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2396–408. https://doi.org/10.11591/ijece.v13i3.pp2396-2408.

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This study describes a new optimization approach for three-phase induction motor speed drive to minimize the integral square error for speed controller and improve the dynamic speed performance. The new proposed algorithm, African vulture optimizer algorithm (AVOA) optimizes internal controller parameters of a fuzzy like proportional differential (PD) speed controller. The AVOA is notable for its ease of implementation, minimal number of design parameters, high convergence speed, and low computing burden. This study compares fuzzy-like PD speed controllers optimized with AVOA to adaptive fuzzy

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S, Shanmugan, Selvaraju P, Palani S, et al. "Exploration of Device in Mechanical Properties - Treated Coir Sheath by Epoxy Resin expenditure Fuzzy Logic Rule." International Journal of Engineering & Technology 7, no. 2.24 (2018): 567. http://dx.doi.org/10.14419/ijet.v7i2.24.12508.

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Mechanical properties of the regulator multifaceted schemes additional well than outmoded approaches Fuzzy logic in this research manufacture contracts around the construction procedure than spare coir sheath reinforced polymer composite material. The scheme of fuzzy logic organizer has three efforts to prosper accurate coir casing armored polymer composite lasciviously. It stood established to incomes for indicator lay-up distance to ethyl methyl ketone peroxide catalyst, cobalt naphthalene as an accelerator. Action of coir to NaOH at dissimilar reach retro is achieved in a oversight of advan

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Arun, Kumar Sahu* Vishwanath Prasad Kurmi. "A REVIEW: STABILITY ENHANCEMENT OF POWER SYSTEM USING FUZZY LOGIC CONTROLLER PSS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 283–86. https://doi.org/10.5281/zenodo.546337.

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This paper present an overview of fuzzy logic control based on published literature, concerned the stability of the electric power system and considerable effort has been directed to the development control system process. This review work on fuzzy logic elaborates the scope of fuzzy logic implementation in process control applications to enhancements the efficiency of the electrical power system stability.

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Reghioui, Hassen, Hani Benguesmia, and Radhwane Sadouni. "Modified load angle direct torque control for dual star motor using fuzzy logic." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e7181. http://dx.doi.org/10.54021/seesv5n2-137.

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Space Vector Modulation (SVM) has emerged as a prominent alternative for motor control, particularly within the framework of Direct Torque Control (DTC-SVM). SVM leverages variations in the load angle, which result from changes in motor torque, to generate the appropriate voltage vectors. The conventional approach to this method involves a single Proportional-Integral (PI) regulator, which is characterized by a constant switching frequency and the capability to reduce ripples in torque, flux, and current. Despite these advantages, the PI regulator may face challenges in maintaining optimal per

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Stiazhkin, V. P., O. A. Zaichenko, S. I. Gavryluk, O. M. Ryzhkov, V. I. Teriaiev, and N. D. Krasnoshapka. "COMBINED CONTROL OF GEARLESS ARC-CORE SHIP RADAR ANTENNA ELECTRIC DRIVE WITH FUZZY LOGIC REGULATOR." Tekhnichna Elektrodynamika 2023, no. 3 (2023): 60–67. http://dx.doi.org/10.15407/techned2023.03.060.

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The synthesis of a fuzzy proportional-integral-differential speed regulator of the arc stator electric drive of the rotation of the radar station antenna with combined control was carried out. The structural diagram of the fuzzy regulator was developed, the input and output linguistic variables are defined, the rule base was compiled, the dependence surfaces of the output control variable on the input coordinates are obtained. A simulation model of an electric drive in the Matlab system with a synthesized fuzzy logic regulator based on a two-phase model of an asynchronous arc-stator motor was

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Marinka Baghdasaryan. "Simulation of A Fuzzy Controller for Controlling A Two-Mass Electromechanical System." Journal of Electrical Systems 20, no. 7s (2024): 2331–40. http://dx.doi.org/10.52783/jes.3969.

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This study presents a model with a fuzzy logic controller (FLC) for controlling a two-mass electric drive operating with a dynamic load. In the Simulink environment of the MatLab software package, a model of the mechanical part of the electric drive system with a proportional integral differential (PID) controller was built, which was tested for two different characteristics created by the technological mechanism. The low performance of a system with a PID regulator has been proven, especially in electric drive systems operating with a shock load. The expediency of using Fuzzy logic regulators

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Mu, Chun Xin, Ming Quan Shi, Zhen Feng Han, and Qi Min Li. "Fuzzy-LQR Based Anti-Swing Control of Gantry Crane." Advanced Materials Research 1030-1032 (September 2014): 1596–601. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1596.

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The paper proposed a controller combined fuzzy logic with linear quadratic regulator (LQR). This controller was able to adjust the swing angle precisely during the lifting of gantry crane. It resolved the problem that the LQR controller mostly depending on the accuracy of the mathematical model. First, the paper analyzed the design method of the LQR, then an improved method combing with fuzzy logic was put forward in detail and a further simulation experiment was carried on the MATLAB. The result shows that compared with LQR, the Fuzzy-LQR method can drive the crane to destination in a shorter

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Abadi, Reaza Ashrafi Habib, and Amir Nekoubin. "Improving Transient Stability in Power Systems by Using Fuzzy Logic Controlled SVC." IAES International Journal of Robotics and Automation (IJRA) 6, no. 4 (2017): 227. http://dx.doi.org/10.11591/ijra.v6i4.pp227-233.

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<span>This paper presents the capability of a fuzzy logic based stabilizer used for generating the supplementary control signal to voltage regulator of static VAR compensator (SVC) for improving damping oscillations in power systems. Generator speed deviation and line active power were chosen as input signals for the fuzzy logic controller (FLC). The quantity of reactive power supplied/absorbed by SVC is determined based on the two input signal and deviation of terminal voltage at each sampling time. The effectiveness and feasibility of the proposed control is demonstrated with Single Ma

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Bykovtsev, Yu A., and V. M. Lokhin. "Analysis and synthesis of intelligent automatic control systems with type-1 fuzzy regulator." Russian Technological Journal 13, no. 3 (2025): 54–62. https://doi.org/10.32362/2500-316x-2025-13-3-54-62.

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Objectives. The active development of intelligent automatic control systems, which is associated with increasing requirements to the quality and accuracy of control systems of modern technical systems, requires the development of new approaches to their analysis and synthesis. A promising class of intelligent control devices is based on regulators that use fuzzy-logic inference technology. The purpose of this work is to develop a method for the complex synthesis of type-1 fuzzy regulator parameters on the basis of the Yakubovich circle criterion.Methods. The proposed methodology is based on a

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Vorobiov, Bohdan, Serhii Senchenko, Dmytro Pshenychnykov, Yaroslav Likhno, and Liu Khan. "The system for electric vehicle slippage prevention based on a fuzzy logic controller." Electrical Engineering and Power Engineering, no. 4 (January 30, 2023): 7–14. http://dx.doi.org/10.15588/1607-6761-2022-4-1.

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Purpose. Development of a functional diagram of a slip prevention system, build a mathematical model, synthesize a fuzzy regulator, simulate and confirm the system's performance. Methodology. Mathematical analysis and modeling. Findings. The structure is substantiated and the linguistic variables of the fuzzy regulator are determined. The choice of the number of terms of the input and output variables of the fuzzy controller is made, proceeding from the minimization of the number of logical processing rules. The terms of the linguistic variables of the fuzzy controller are selected in the form

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Bronytskyi, Vadym Olehovych. "BRUSHLESS SPEED CONTROL WITH THE USE FUZZY LOGIC PI REGULATOR." Herald of the National Technical University of Ukraine «Kyiv Polytechnic Institute». Series of «Mining», no. 33 (May 23, 2017): 31–36. http://dx.doi.org/10.20535/2079-5688.2017.33.102087.

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Theodoropoulos, Stefanos, Dionisis Kandris, Maria Samarakou, and Grigorios Koulouras. "Fuzzy Regulator Design for Wind Turbine Yaw Control." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/516394.

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This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough sim

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R., Lebied, Lalalou R., Benalla H., Nebti K., and Boukhechem I. "AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL." Electrical engineering & electromechanics, no. 6 (December 17, 2020): 63–70. https://doi.org/10.20998/2074-272X.2020.6.09.

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<strong><em>Purpose. Electricity is a basic energy for life and its consumption increased so we need the discovery of new sources of energy such as wind energy .for this ameliorate the quality of generated wind energy by using the intelligent artificial control, this control is made to optimize the performance of three-phase PWM rectifier working. Methodology. These strategies are based on the direct control of the instantaneous power, namely: the control direct power control (DPC) with classic PI regulator and direct power control with fuzzy logic regulator. The fuzzy characterized by its abi

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Reddy, R. Obulakonda, Sandeep Kautish, V. Padmanabha Reddy, N. Sudhakar Yadav, Meznah M. Alanazi, and Ali Wagdy Mohamed. "Effects of Integrated Fuzzy Logic PID Controller on Satellite Antenna Tracking System." Computational Intelligence and Neuroscience 2022 (March 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/7417298.

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An electrical device that transforms the electricity into the waves of radio and vice versa is termed the antenna. Its main deployment is in the transmitter and receiver of the antenna. While transmission, the transmitter of radio at the extremities of the antenna furnishes the electricity which oscillates at the frequency of radio wave and energy is released as current as em waves. Some of the voltage is formed from the em wave that is invaded at the point of receiving to amplify the receiver. This study focuses on the analysis of the satellite system to aid in mobile antenna tracking. It als

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Papis, Mateusz, and Marek Matyjewski. "The Use of Fuzzy Logic Elements for the Risk Analysis in Aviation." Journal of KONBiN 49, no. 2 (2019): 31–53. http://dx.doi.org/10.2478/jok-2019-0024.

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Abstract The paper presents the possibility of using fuzzy logic in aviation provided in an example of estimating the risk of a glider pilot. The results of expert questionnaires were used to define the input data concerning categories of loss and the probability of undesirable events occurrence. A model of inference and fuzzy sets concerning input and output data were defined. The risk analysis was performed in accordance with the standard fuzzy regulator scheme. Moreover, the results obtained were verified with the use of Risk Matrix and Risk Score methods.

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Yesaulov, S., M. Khvorost, О. Babicheva, and M. Naidonov. "APPLICATION OF FUZZY LOGIC IN THE CONTROL SYSTEM OF ELECTROMECHANICAL EQUIPMENT." Municipal economy of cities 6, no. 180 (2023): 33–42. http://dx.doi.org/10.33042/2522-1809-2023-6-180-33-42.

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The article considers the option of solving the problem of automatic selection of settings of proportional-integral-differential (PID) regulators to control the thermal process with chaotically changing dynamic properties. Based on analytical and experimental data, it illustrates the influence of various factors on changes in the dynamic properties of electromechanical equipment (EME) when heated during operation. The work of classical and fuzzy PID controllers was investigated using simulation models in Matlab and Simulink environments. The article illustrates the expediency of changing the c

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Zhang, Hai-yun, Jin Wang, and Guo-dong Lu. "Hierarchical fuzzy-tuned multiobjective optimization control for gantry cranes." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 7 (2013): 1119–31. http://dx.doi.org/10.1177/0954406213501968.

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This work presents a hierarchical fuzzy-tuned multiobjective optimization control scheme for the horizontal moving process of gantry cranes. Initially, a multiobjective optimization controller is developed based on gantry crane dynamics, which transforms the control issue of gantry crane into a state-tracking optimization problem and accomplishes simultaneous optimization of multiple performance indexes through the weighting matrix configuration. To cope with the multiobjective optimization controller, an actuation signal modulator is designed using a linear interpolation algorithm, which tran

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Ussama, Belarussi, V. F. Kalinin, and Amel Terki. "Effective Fuzzy Logical Control for Photoelectric System Optimization." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 27, no. 1 (2021): 062–72. http://dx.doi.org/10.17277/vestnik.2021.01.pp.062-072.

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The article shows the importance of tracking the point of maximum power and ways to achieve it. Methods of “perturbation and observation” and a fuzzy logic regulator (FLR) are analyzed. The modeling of the photovoltaic system operation in various conditions is carried out and the principle of its operation is considered.

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Syah, Allya Alan Putra, Ketty Siti Salamah, and Eko Ihsanto. "Sistem Pemberi Pakan Otomatis, Ph Regulator Dan Kendali Suhu Menggunakan Fuzzy Logic Pada Aquarium." Jurnal Teknologi Elektro 10, no. 3 (2020): 194. http://dx.doi.org/10.22441/jte.v10i3.008.

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Banyaknya penghobi yang ingin memelihara ikan dan tumbuhan air karena indah tetapi cukup sulit untuk merawatnya. Namun, dimasa sekarang ini disibukkan dengan urusan yang mengharuskan untuk keluar rumah. Oleh karena itu, pemilik akuarium atau aquascape tidak memiliki banyak waktu untuk memeliharanya. Ini merupakan masalah bagi para penghobi. Dengan itu dibuatlah alat kendali dan monitoring ini (akuarium pintar). Pada tugas akhir ini dibuat suatu sistem yang terpasang pada akuarium dengan menerapkan konsep Internet of Things, agar dapat dikendalikan dari jarak jauh. Pada penelitian ini digunakan

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Preye, Uguta Henry, and Onyejegbu Laeticia Nneka. "An Intelligent Fuzzy Logic System for Network Congestion Control." Circulation in Computer Science 2, no. 11 (2017): 23–30. http://dx.doi.org/10.22632/ccs-2017-252-69.

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Network congestion is a major problem in all network environments as such it calls for ways to manage this problem. In this paper, we propose a Fuzzy Regulator Effective Random Early Detection (FRERED) system, which is an intelligent fuzzy logic based controller technique for early stage congestion detection, at the router buffer in the networks. The proposed technique extends the Fuzzy-Based system in the Fuzzy Hybrid ERED algorithm by considering the delay variable in its inference system to ease the problem of parameter initialization and parameter dependency. Unlike the Fuzzy-Based control

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Khezri, Rahmat, and Hassan Bevrani. "Stability Enhancement in Multi-Machine Power Systems by Fuzzy-based Coordinated AVR-PSS." International Journal of Energy Optimization and Engineering 4, no. 2 (2015): 36–50. http://dx.doi.org/10.4018/ijeoe.2015040103.

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This paper presents performance of intelligent fuzzy-based coordinated control for Automatic Voltage Regulator (AVR) and Power System Stabilizer (PSS), to prevent losing synchronism after major sudden faults and to achieve appropriate post-fault voltage level in multi-machine power systems. The AVR and PSS gains can adaptively change to guarantee the power system stability after faults. For change in AVR and PSS gains, at least one significant generator in each area of a multi-area power system is equipped with fuzzy logic unit. The fuzzy logic unit accepts normalized deviations of terminal vo

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Filimonov, A. B., and N. B. Filimonov. "Sertain Problematic Aspects of Fuzzy PID Regulation." Mekhatronika, Avtomatizatsiya, Upravlenie 19, no. 12 (2018): 762–69. http://dx.doi.org/10.17587/mau/19.762-769.

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In recent years in view of the fact that the interest in the technologies of artificial intelligence in control systems by technical objects and technological processes are aroused, that fuzzy controllers find use more often. The given regulators carry out the process of the development of controlling actions on the basis of fuzzy logic, the application of which provides the design of control systems capable of functioning in conditions of incompleteness and fuzziness of knowledge about the dynamics of the control object. Fuzzy regulators have opened a new direction in the area of automatic co

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Christian, Robby, Balza Achmad, and Hyun Gook Kang. "Prognostic Methods on Accelerator’s Anode Voltage Regulator." E3S Web of Conferences 43 (2018): 01020. http://dx.doi.org/10.1051/e3sconf/20184301020.

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This study investigated an adaptive control, fault diagnostics and prognostics of the anode voltage regulator system at an ion implantation accelerator. The system was modeled as a 4th order AutoRegressive with eXogenous (ARX) model, controlled by a Fuzzy Logic Controller (FLC). This model was then used as a basis for constructing and updating a fault diagnosis module and a failure prognostics module. To maintain the system’s performance, the controller’s response was continuously re-adjusted through an optimization scheme. A Failure Mode and Effect Analysis (FMEA) was conducted resulting on f

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Hasmah, Mansor, Mohamad Aqil Mohamad Fadzir Tun, Surya Gunawan Teddy, and Janin Zuriati. "Design of travel angle control of quanser bench-top helicopter using mamdani-based fuzzy logic controller." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 815–25. https://doi.org/10.11591/ijeecs.v17.i2.pp815-825.

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This research focuses on travel angle control of a laboratory scale bench-top helicopter developed by Quanser Inc. Bench top-helicopter is usually used by engineers and researchers to test their designed controllers before applying to the actual helicopter. Bench-top helicopter has the same behavior as the real helicopter, with 3 degree of freedom. The bench-top helicopter is mounted on a flat surface with two rotors that depends on the voltage supplied to change the direction of the helicopter in 3 different angles. The movement of the helicopter is based on the direction of three-different a

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Ермолаев, М. С., and А. М. Хафизов. "FUZZY REGULATOR FOR CONTROLLING THE TEMPERATURE REGIME IN THE COLUMN OF AMMONIA SYNTHESIS." Южно-Сибирский научный вестник, no. 2(36) (April 30, 2021): 104–8. http://dx.doi.org/10.25699/sssb.2021.36.2.011.

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Все реальные системы имеют нелинейный характер, обычные контроллеры не всегда могут дать хорошие и точные результаты. Нечёткий логический контроллер используется для получения лучшего отклика. Модель для моделирования разрабатывается, и все предположения делаются до разработки модели. Была сделана попытка проанализировать эффективность нечёткого регулятора по сравнению с традиционным ПИД-регулятором для системы управления температурным режимом колонны синтеза аммиака, и их результаты были сопоставлены. Анализ выполняется посредством компьютерного моделирования с использованием набора инструмен

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Bobyr, M. V., N. A. Milostnaya, and C. A. Nolivos. "PID Regulator and Fuzzy-Digital Filter Combination in the Thermoelement Control Task." Mekhatronika, Avtomatizatsiya, Upravlenie 23, no. 9 (2022): 473–80. http://dx.doi.org/10.17587/mau.23.473-480.

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The thermoelement control system basis on the fuzzy logic has been developed in this article. This system improves the stability characteristics of devices using a PID controller in their structure. This effect is achieved by reducing the output signal, the value of which is calculated using a fuzzy digital filter. The main aspect of the fuzzy digital filter is the use of the area ratio method during defuzzifing. The limitation of this method is the use of triangular membership functions. The experimental results presented in the article demonstrate the effectiveness of the proposed solution.

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Syafitri, Nesi, Raja Ibnu Faderi, Des Suryani, and Ause Labellapansa. "Prototype of Lighting Intensity Administration in Work Room With Sound Control and Fuzzy Logic Control." IT Journal Research and Development 7, no. 1 (2022): 52–60. http://dx.doi.org/10.25299/itjrd.2022.10278.

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The use of indoor and outdoor lighting systems that are still passive makes the use of electrical energy less efficient and classified as wasteful. From the problems that occur in the system that is running, the researchers need to develop a more dynamic system by utilizing the Tsukamoto FLC method and Arduino using voice control to adjust the intensity of the light in the room. After implementing as well as testing the system that has been made, namely the Prototype of Light Intensity Regulator in the Work Room With Voice Control and Fuzzy Logic Control using NodeMCU ESP8266, it is concluded

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Benayad, Asma, Brahim Gasbaoui, Said Bentouba, and Mohammed Amine Soumeur. "Movement of a Solar Electric Vehicle Controlled by ANN-based DTC in Hot Climate Regions." International Journal of Renewable Energy Development 10, no. 1 (2020): 61–70. http://dx.doi.org/10.14710/ijred.2021.18596.

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Vehicle autonomy presents the most complex problem for modern commercialized solar electric vehicle (SEV) propulsion systems. The power supplied by electric vehicles’ batteries is limited by the state of charge, the type of battery, and its level of technological development. This study’s aim was to resolve the problem of energy variation at several velocities and under different road topology conditions. Several works related to the use of fuzzy logic confirm that classical regulators have such advantages over fuzzy regulators as short processing times and mathematical precision. Therefore, t

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Kriaučiūnas, Jonas, and Sigitas Juraitis. "TWO-MASS ELECTROMECHANICAL SYSTEM WITH A FUZZY REGULATOR / DVIMASĖ ELEKTROMECHANINĖ SISTEMA SU NERAIŠKIOSIOS LOGIKOS REGULIATORIUMI." Mokslas - Lietuvos ateitis 4, no. 1 (2012): 43–46. http://dx.doi.org/10.3846/mla.2012.10.

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The paper presents a two-mass system with a finite stiffness and fuzzy logic controller with feedback signals proportional to speed error and its derivative. Solutions to improve the dynamics of the two-mass system were considered. The paper deals with some essential benefits of a fuzzy logic controller to control the drive speed of the induction motor of the two-mass system. A computer model of the two-mass system with Takagi-Sugeno fuzzy type controller is presented. The simulation model and results of the controlled two-mass system are discussed. The transients of the system with different

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