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Journal articles on the topic 'Fuzzy PI'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Alharbi, Fahd. "Fuzzy PI Controller for RPR Networks." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 751–58. http://dx.doi.org/10.5373/jardcs/v11/20192629.

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2

Meziane, Khaddouj Ben, Faiza Dib, Nabil Benaya, and Ismail Boumhidi. "Optimized fuzzy PI controller for variable speed wind turbine using DE algorithm." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 3 (2023): 1684. http://dx.doi.org/10.11591/ijpeds.v14.i3.pp1684-1693.

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To design an optimal fuzzy proportional-integral (PI) controller for the variable speed wind turbine systems, a new differential evolution (DE) algorithm approach is developed in this paper. We have investigated a fuzzy PI controller, in which fuzzy rules are applied to adapt the parameters of the PI controller founded on the error and its first-time derivative. The fuzzy PI controller's inputs and outputs are tuned using the DE optimization method. The superiority of the suggested (DE fuzzy PI) controller has been proved by comparing the results with (fuzzy PI) and only the PI controller appl

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3

Khaddouj, Ben Meziane, Dib Faiza, Benaya Nabil, and Boumhidi Ismail. "Optimized fuzzy PI controller for variable speed wind turbine using DE algorithm." International Journal of Power Electronics and Drive Systems 14, no. 3 (2023): 1684~1693. https://doi.org/10.11591/ijpeds.v14.i3.pp1684-1693.

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To design an optimal fuzzy proportional-integral (PI) controller for the variable speed wind turbine systems, a new differential evolution (DE) algorithm approach is developed in this paper. We have investigated a fuzzy PI controller, in which fuzzy rules are applied to adapt the parameters of the PI controller founded on the error and its first-time derivative. The fuzzy PI controller's inputs and outputs are tuned using the DE optimization method. The superiority of the suggested (DE fuzzy PI) controller has been proved by comparing the results with (fuzzy PI) and only the PI controller

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4

Zhang, Weixuan, Yu Fang, Rong Ye, and Zhengqun Wang. "Analysis and Design of a Double Fuzzy PI Controller of a Voltage Outer Loop in a Reversible Three-Phase PWM Converter." Energies 13, no. 15 (2020): 3778. http://dx.doi.org/10.3390/en13153778.

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Aiming at the application of a reversible three-phase pulse width modulation (PWM) converter with a wide range of AC side voltage and DC side voltage, a double fuzzy proportional integral (PI) controller for voltage outer loop was proposed. The structures of the proposed controller were motivated by the problems that either the traditional PI controller or single fuzzy PI controller cannot achieve high performance in a wide range of AC and DC voltage conditions. The presented double fuzzy controller studied in this paper is a sub fuzzy controller in addition to the traditional fuzzy PI control

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5

Xu, Xue Jun, Yong Zhong Lin, Hong Yang Sun, Yi Gen Lu, and Tian Lv. "Modeling and Development of Copper Wire Annealing Fuzzy Control System Based on Temperature Detecting." Applied Mechanics and Materials 487 (January 2014): 587–90. http://dx.doi.org/10.4028/www.scientific.net/amm.487.587.

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Copper wire continuous annealing is a key process of the cable production line. The accuracy of the temperature control directly determines whether the quality of copper wire meets the requirements. In this paper, the fuzzy-PI compound controller was selected and the structure of the annealing temperature fuzzy-PI control system was designed based on temperature measurement. Through the simulation of traditional PI control system and the improved Fuzzy-PI control system, the results show that the Fuzzy-PI controller is better than traditional PI controller. It verifies the feasibility and effe

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6

Singh, Yaduvir, Darshan Singh, and Dalveer Kaur. "Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (2013): 400–413. http://dx.doi.org/10.24297/ijct.v6i3.4464.

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than theÂ conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PIÂ controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motorÂ Fuzzy-PI speed contro

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7

Gharieb, W., and M. A. Sheirah. "Fuzzy Retuning PI Controller." IFAC Proceedings Volumes 30, no. 6 (1997): 723–27. http://dx.doi.org/10.1016/s1474-6670(17)43451-3.

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8

Bouserhane, Ismail K., Abdeldjebar Hazzab, Abdelkrim Boucheta, Benyounes Mazari, and Rahli Mostefa. "Optimal Fuzzy Self-Tuning of PI Controller Using Genetic Algorithm for Induction Motor Speed Control." International Journal of Automation Technology 2, no. 2 (2008): 85–95. http://dx.doi.org/10.20965/ijat.2008.p0085.

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We present induction motor speed control using optimal PI controller fuzzy gain scheduling. To improve PI controller performance, we designed fuzzy PI controller gain tuning for indirect-field oriented IMspeed control using fuzzy rules on-line to adapt PI controller parameters based on error and its first time derivative. To overcome the major disadvantage of fuzzy logic control, i.e., the lack of design technique, we propose optimization of fuzzy logic tuning parameters using a genetic algorithm. Optimally designed fuzzy logic provides suitable PI controller gain to achieve the desired speed

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9

RISKITASARI, SEPTYANA, BUDHY SETIAWAN, RATNA IKA PUTRI, and WAHYU AULIA NURWICAKSANA. "Kontrol Fuzzy PI untuk Pengaturan Kecepatan Angin oleh Wind Generator 1.42 Hp pada Wind Tunnel." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 8, no. 2 (2020): 288. http://dx.doi.org/10.26760/elkomika.v8i2.288.

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ABSTRAKWind generator merupakan bagian terpenting dari pembuatan Wind tunnel, dimana fungsinya adalah sebagai sumber penghasil angin. Pada proses desain kontrol, tahap pertama adalah mengumpulkan data parameter empiris wind generator real menggunakan jenis motor induksi 1.42 hp pada wind tunnel. Pada penelitian ini dibuat simulasi pengontrolan kecepatan generator angin menggunakan metode kontrol fuzzy PI untuk meningkatkan hasil dari respon sistem kestabilan dengan titik setel 2 m/s hingga 10 m/s. Simulasi kontrol dilakukan dengan memanfaatkan jenis motor induksi yang sebanding dengan plant. H

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10

Baharudin, N. N., and S. M. Ayob. "Brushless DC Motor Speed Control Using Single Input Fuzzy PI Controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (2018): 1952. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1952-1966.

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<span lang="EN-US">Brushless DC (BLDC) motor is more reliable than classic DC motor with higher efficiency. Commonly used conventional linear controller such as PI, PID and PD controller. FLC is considered a replacement to conventional controller due to advantages on non-linear system. Hybrid controller e.g Fuzzy PI controller is developed to cope with drawback of both controller. Simplification of FLC in previous study is the pioneer of the idea of proposed method. Single-Input Fuzzy PI Controller (SIFPIC) is a hybrid controller that combines advantages of linear PI controller and fuzzy

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11

Qu, Wei, Zhao Xi Zhang, Xiao Xin Sun, Wen Qiang Li, and Xiao Jie Chen. "Research on PMSM Fuzzy PI Control System." Applied Mechanics and Materials 475-476 (December 2013): 628–34. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.628.

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In this paper, a fuzzy PI control method is proposed in order to overcoming shortcomings of traditional PI regulator control permanent magnet synchronous motor, in this paper. This method combined traditional PI control with fuzzy control is enable to achieve self-tuning fuzzy parameters PI control and take into account sensitivity, and robustness of the system. A double-loop (current loop and velocity loop) fuzzy control system is designed by this method. Modular design of the fuzzy PI controller based on FPGA chip is realized and simulation and experimental is done. The experimental results

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12

Wang, Fukuan, and Baojiang Sun. "Maximum Torque Control of Permanent Magnet-Assisted Synchronous Reluctance Motor Using Fuzzy PI." Journal of Physics: Conference Series 2785, no. 1 (2024): 012050. http://dx.doi.org/10.1088/1742-6596/2785/1/012050.

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Abstract This paper proposes a fuzzy PI-based Maximum Torque Per Ampere (MTPA) control for Permanent Magnet-Assisted Synchronous Reluctance Motor (PMASynRM). The aim is to address issues such as overshooting and slow response in the operation of the PMASynRM by optimizing MTPA control under traditional PI using a fuzzy PI control algorithm. This approach enhances the system’s responsiveness and disturbance rejection capabilities. The article builds a simulation model for the maximum torque-to-current ratio control of PMASynRM using fuzzy PI control in MATLAB/Simulink, comparing it with traditi

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13

Peng, Xiao Feng, Peng Xu, Li Zhang, and Wen Lue Wan. "Design of Fuzzy Self-Tunning Controller for Permanent Magnet Synchronous Motor." Advanced Materials Research 732-733 (August 2013): 1105–9. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1105.

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Permanent magnet synchronous motors(PMSM) as a representative of high efficiency motor was being used widely in the area of medium and small-sized power, high-accuracy,high reliability and wide-scope speed governing servo system.Otherwise,because traditional PI controller can not satisfy the high-performance of PMSM servo system,Fuzzy self-tuning PI(Fuzzy-PI) control method was used in this system, and proportion and integral parameter of PI controller is optimized by fuzzy logic.By simulation experiment, it was proved that Fuzzy-PI method had more steady and less q-axis current pulse to PI co

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14

Al-Fikri, Ihsan, Aripriharta Mr., Anik Nur Handayani, Norzanah Rosmin, and Saodah Omar. "Fuzzy-PI Control for Buck Converter Output Voltage Stabilizer." ELKHA 14, no. 1 (2022): 22. http://dx.doi.org/10.26418/elkha.v14i1.50703.

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This paper presents a hybrid control between Fuzzy and PI to solve the problem of stability of the output voltage on the Buck Converter, especially in small power applications. This paper makes two main contributions. The first is the design of a simple Fuzzy-PI output voltage control design of a buck converter in Matlab. The second is the result of comparing the response of the traditional PI control system with the designed Fuzzy-PI hybrid control. The method used is a simulation with 3 stages. This process starts from the design of the Fuzzy-PI controller, simulation test with 3 scenarios,

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15

Narasimha Raja, Ch Varaha. "Load Frequency Control in Four Area Power Systems Using Fuzzy Logic PI Controller." Bulletin of Electrical Engineering and Informatics 2, no. 2 (2013): 105–10. http://dx.doi.org/10.11591/eei.v2i2.212.

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This paper presents a load frequency control in fourarea power systems using fuzzy gain scheduling of PI controlleris realized. The system simulation is realized by using Matlab/Simulink software. System dynamic performance is observed forconventional PI, fuzzy PI and fuzzy logic controllers.

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16

Setiawan, Bima Dwi Priya, Muhammad Nizar Habibi, Novie Ayub Windarko, and Sutedjo. "PENGATURAN KECEPATAN MOTOR INDUKSI DENGAN METODE Vf DAN KONTROL PI-FUZZY." Suara Teknik : Jurnal Ilmiah 11, no. 2 (2020): 1. http://dx.doi.org/10.29406/stek.v11i2.2047.

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Motor induksi memiliki konstruksi yang kokoh dan perewatan sederhana sehingga motor induksi menjadi kebutuhan utama di industri. Pengaturan kecepatan motor induksi merupakan salah satu kondisi operasi yang sering digunakan sehingga diperlukan kontrol umpan balik dengan tingkat error yang rendah.. Untuk memenuhi hal tersebut telah diterapkan seperti kontrol PI. Kontrol PI dapat mencakup berbagai kondisi operasi yang lebih luas dan mudah disesuaikan, namun kontrol ini masih memiliki kelemahan dalam proses tuning nilai parameter. Meskipun terdapat metode dalam proses tuning parameter PI, metode t

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17

Nyo, Hnin Wint War, Hla Myo Tun, Lei Lei Yin Win, et al. "Analysis of High-Performance Step-Down DC to DC Converter Design Based on Zero Voltage Switching with Pulse Width Modulation Technique for Electric Vehicles." Journal of Novel Engineering Science and Technology 4, no. 01 (2025): 25–32. https://doi.org/10.56741/jnest.v4i01.775.

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The paper mainly focuses on analyzing high-performance step-down DC to DC converter based on zero voltage switching with pulse width modulation technique for electric vehicles. In this paper, PI, fuzzy PI, and adaptive network-based fuzzy inference system (ANFIS)control methods are applied to the phase shift full-bridge (PSFB) zero voltage switching (ZVS) converter for auxiliary components in electric vehicles. The robust analysis of three control methods is compared by using the AC small-signal mathematical model. Traditional PI control uses specific mathematical equations with errors and der

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18

Nursoy, Hatice, and Abdullah Başçi. "Comparison of the Performance of Type-1 and Interval Type-2 Fuzzy PI Controllers for Liquid Level Control in a Coupled Tank System." Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi 17, no. 2 (2024): 523–42. http://dx.doi.org/10.18185/erzifbed.1508424.

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In this study, liquid level control in a coupled tank system is realized with PI controllers whose parameters are adapted using fuzzy logic approximation methods. Type-1 fuzzy PI control, interval type-2 fuzzy PI control and classical PI+Feedforward control methods are applied to the tank system in real time for different reference liquid levels. The performances of the controllers are compared in terms of system response parameters such as rise time, settling time and overshoot percentage. In addition, the performance evaluation of the controllers over a certain period of time is also compare

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19

De Carli, A., P. Liguori, and A. Marroni. "A fuzzy-PI control strategy." Control Engineering Practice 2, no. 1 (1994): 147–53. http://dx.doi.org/10.1016/0967-0661(94)90582-7.

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20

Jitender, Kaushal, and Basak Prasenjit. "Frequency control of islanded microgrid using fuzzy-PI and autotuned controllers." International Journal of Advances in Applied Sciences (IJAAS) 8, no. 1 (2019): 64–72. https://doi.org/10.11591/ijaas.v8.i1.pp64-72.

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Any mismatch between generation and demand causes frequency to deviate from nominal value which affects the microgrid operation and reliability of power flow. The load frequency changes abnormally, which is fuzzy in nature, due to low system inertia and unpredictable variation in wind and solar irradiance level. So a frequency controller is needed to solve this problem meeting generation and demand of an islanded microgrid system considering the fuzziness in frequency fluctuation. This paper presents a case study of a hybrid microgrid system consisting of PV system, wind turbine generator set,

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21

Gu, Yifeng, Hao Li, Jiale Zhao, and Xiaolin Ma. "Research on three-phase photovoltaic grid-connected inverter based on fuzzy PI control." Journal of Physics: Conference Series 2360, no. 1 (2022): 012010. http://dx.doi.org/10.1088/1742-6596/2360/1/012010.

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With the vigorous development of photovoltaic industry, the research on three-phase photovoltaic grid-connected inverter is deepening. For the problem, in this article, a combination of fuzzy control methods and traditional PI control is proposed to improve the adaptive capability of the system by constructing a composite fuzzy PI control pattern. At the same time, The LCL-type three-phase grid-connected inverter is simultaneously studied and the fuzzy PI control is validated through demonstration experiments. It is shown that the fuzzy PI control method is somewhat feasible in this system.

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22

Zhou, Haibo, Chaolong Zhang, Shuaixia Tan, Yu Dai, Ji’an Duan, and Ibrahim Ahmed Abdul. "Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 4319–29. http://dx.doi.org/10.3233/jifs-200334.

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The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2

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23

Duan, Ming De, Bao Lei Wei, Yan Wei You, and Yu Ping Wang. "Design of Speed Loop in Feed System Based on Fuzzy-PI Dual-Mode Control." Applied Mechanics and Materials 536-537 (April 2014): 1240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1240.

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The fuzzy-PI dual-mode control was designed and applied to control speed loop in feed system of ADGM25 to improve its response characteristic and stability. In order to observe its control ability, the fuzzy - PI dual-mode control and PI control were adopted respectively. The simulation of the feed system was finished by using MATLAB/Simulink. The results show that the control performance of fuzzy - PI dual-mode control is better than the performance of conventional PI control, the maximum over-shoot and setup time decreased by 13%,0.05s respectively.

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24

Li, Guang Zhong. "Application of Fuzzy-PI Controller in the Asynchronous Motor." Advanced Materials Research 1070-1072 (December 2014): 1210–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1210.

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This paper proposes an induction motor variable frequency speed control system based on fuzzy-PI self-tuning. The system includes coordinate transformation modules, vector control modules, space vector pulse width modules, fuzzy-PI self-tuning speed regulator, excitation current and torque current PI regulator. Because the speed regulator controlled by the fuzzy-PI self-tuning has better control effect than traditional PI. The performance can be reflected by the shorter response time, smaller overshoot. In addition, when the load torque changes, the electromagnetic torque changes more smoothly

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25

Li, Shuang Shuang, and Yong Xin Liu. "AC Motor Speed Control Double Close Loop Cascade Fuzzy PI Controller Design." Advanced Materials Research 516-517 (May 2012): 1571–74. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1571.

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Cascade Speed Regulation System has the nonlinear characteristics and whose structure parameters are variable easily. Fuzzy control theory which based on conventional Cascade Speed Regulation System is introduced into such system. An asynchronous motor model is built, and a fuzzy parameter self-tuning controller is designed in this paper, the controller is simulated in Matlab, The simulation result shows the difference between the conventional PI controller and the fuzzy parameter self-tuning PI controller. From these simulation results, all performance indexes of the fuzzy PI controller with

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26

Zhang, Yong Bo, and Long Yun Kang. "Experimental Study of Fuzzy PI Controller of HEV DC/DC Converter." Applied Mechanics and Materials 457-458 (October 2013): 1195–99. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1195.

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This paper aims to improve the control performance of series HEV, and mainly conducts the study of the basic components of the control systems bidirectional DC/DC converter and motor drive circuit--the buck chopper and boost chopper. Also, this paper constructs a hardware platform and designs the fuzzy self-tuning PI controller. Through the comparative experiments of PI control and fuzzy PI control, it has been verified that the fuzzy PI controller has better control effect.

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27

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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28

Abbood, Afaneen Anwer. "A Fuzzy Logic Controller Based Vector Control of IPMSM Drives." Journal of Engineering 19, no. 10 (2023): 1287–99. http://dx.doi.org/10.31026/j.eng.2013.10.07.

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This paper explores a fuzzy-logic based speed controller of an interior permanent magnet synchronous motor (IPMSM) drive based on vector control. PI controllers were mostly used in a speed control loop based field oriented control of an IPMSM. The fundamentals of fuzzy logic algorithms as related to drive control applications are illustrated. A complete comparison between two tuning algorithms of the classical PI controller and the fuzzy PI controller is explained. A simplified fuzzy logic controller (FLC) for the IPMSM drive has been found to maintain high performance standards with a much si

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29

Xu, Bofeng, Yue Yuan, Haoming Liu, et al. "A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction." Energies 13, no. 22 (2020): 6086. http://dx.doi.org/10.3390/en13226086.

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A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach is introduced into the normal Fuzzy-Proportional-Integral (Fuzzy-PI) control strategy by dividing the fuzzy rules into four areas and analyzing the design method for each area. Furthermore, a low pass filter is used to reduce the ultimate loads of the pitch driver caused by the novel fuzzy rules. The modeling of the wind turbine load under tur

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30

Deng, Jing Xin, Xiao Ding Guo, Xiao Ke Chen, and Zheng Mei Cheng. "Simulation and Application on the Adaptive Fuzzy PI Control in Low-Rise Elevator Speed Regulation System." Applied Mechanics and Materials 103 (September 2011): 550–55. http://dx.doi.org/10.4028/www.scientific.net/amm.103.550.

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The elevator has become an important vertical transport tool, its control effect of speed regulation attracted much attention. The structure of control system about low-level elevator was introduced. For starting and braking frequently and the load changes greatly, the traditional PI control strategy is difficult to achieve the desired control effect of the elevator. The fuzzy inference rule table was established which based on fuzzy control theory. The adaptive fuzzy PI controller was designed. The simulation research and application using the adaptive fuzzy PI control strategy in brushless D

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31

Attiya, Adnan Jabbar, Yang Wenyu, and Salam Waley Shneen. "Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (2015): 65. http://dx.doi.org/10.11591/tijee.v16i1.1589.

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<p>By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would machine the work-piece at the right position in right posture with required force. A passive wrist system is advanced, in this paper, to conform the shape of the machining propeller by altering its posture along with the surface. The proportional-integral (PI) controller, due to its simplicity, robustness, and affordable price, is extremely often used in practical applications, but it is effecti

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32

Khan, Muhammad Adnan, Ahsan Ali, and Inam-Ul-Hassan Shaikh. "Hybrid Fuzzy-PI and ANFIS Controller Design for Rotor Current Control of DFIG Based Wind Turbine." Pakistan Journal of Engineering and Technology 5, no. 1 (2022): 35–41. http://dx.doi.org/10.51846/vol5iss1pp35-41.

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Wind energy generation provides one of the best and economical solution to the growing power demand. Doubly Fed induction generator is one of the most important variable speed wind generators. Integrating advanced controllers improves its performance and efficiency. The purpose of this research work is to optimize the wind energy conversion and efficient wind power extraction by controlling rotor current. Four controllers that are PI, Fuzzy, Hybrid Fuzzy-PI and Neural network based Adaptive Neuro Fuzzy controller are designed and implemented on DFIG. Controllers’ performance is assessed in ter

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33

Tripathi, Jayesh, Krishna Sharma, and J. N. Rai. "Speed Control Analysis of Brushless DC Motor Using PI, PID and Fuzzy-PI Controllers." International Journal of Electrical and Electronics Research 10, no. 3 (2022): 470–74. http://dx.doi.org/10.37391/ijeer.100311.

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Brushless DC Motor (BLDC) are relatively new in the industry in comparison to DC motor and induction motor. Conventional controllers like PI, PID are easy to implement but they are not as good as a Hybrid Fuzzy-PI controller for smooth operations. In this paper with the help of MATLAB/SIMULINK, speed response of BLDC motor drive system has been done using PI, PID and Fuzzy-PI controller.

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34

Reif, Douglas Romeu, Romeu Hausmann, and Andreza Sartori. "Comparativo entre os controladores PI Clássico e Fuzzy / Comparison between Classic PI and Fuzzy controllers." Brazilian Journal of Development 7, no. 10 (2021): 99521–36. http://dx.doi.org/10.34117/bjdv7n10-324.

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35

Mostafa, Sameh, Abdelhalim Zekry, Ayman Youssef, and Wagdi Refaat Anis. "Raspberry Pi Design and Hardware Implementation of Fuzzy-PI Controller for Three-Phase Grid-Connected Inverter." Energies 15, no. 3 (2022): 843. http://dx.doi.org/10.3390/en15030843.

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A photovoltaic system is one of the major sources of renewable energy. The grid-connected inverter controllers play an important role in the conversion and transmission of solar energy. Therefore, they must be improved to meet the demands for grid interconnection. This article introduces the design and hardware implementation of the intelligent fuzzy-PI controller of the inverter part of the grid-connected photovoltaic system. First, the paper discusses the design of the three-phase grid-connected fuzzy-PI controller. Next, the paper describes the implementation of a Matlab graphical user inte

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36

Arulmozhi, N. "Bioreactor Control Using Fuzzy Logic Controllers." Applied Mechanics and Materials 573 (June 2014): 291–96. http://dx.doi.org/10.4028/www.scientific.net/amm.573.291.

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Bioreactors are characterized by high nonlinearities and are often subjected to parameter uncertainties and disturbances. The control of such processes is often difficult to achieve with traditional linear control techniques. In the present work, a Fuzzy logic controller is designed in two versions to a Bioreactor which exhibits input multiplicities in dilution rate on productivity. Fuzzy controller and Fuzzy tuned PI controller is designed to translate the information obtained from the operator’s experiences for designing an automatic control system The Performance of proposed Fuzzy logic con

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Gnanavadivel, J., N. S. Kumar, S. T. J. Christa, and P. Yogalakshmi. "Design and Implementation of High Power LED Lighting System for Health Care Applications." Current Signal Transduction Therapy 14, no. 1 (2019): 31–37. http://dx.doi.org/10.2174/1574362413666180221115755.

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Background:A conventional front-end rectifier causes line current distortion and reduces the power factor, which result in lowering power quality for Light Emitting Diode (LED) drive system. Hence, this paper projects the design, simulation and comparison of novel PI tuned by the fuzzy logic controller with the conventional PI controller for modified SEPIC rectifier to produce the required load voltage along with supply-side unity power factor and less distorted supply current with limited harmonic content for LED lighting in healthcare applications. A prototype of 100W, 48V LED driver was dev

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Arifin, Bustanul, Bhakti Yudho Suprapto, Sri Arttini Dwi Prasetyowati, and Zainuddin Nawawi. "Steering Control in Electric Power Steering Autonomous Vehicle Using Type-2 Fuzzy Logic Control and PI Control." World Electric Vehicle Journal 13, no. 3 (2022): 53. http://dx.doi.org/10.3390/wevj13030053.

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The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system. Compared to other types of controls, type-2 fuzzy logic control has the advantage of dealing with uncertain inputs, which are common in autonomous vehicles. This paper proposes a novel method for the steering control of autonomous vehicles based on type-2 fuzzy logic control combined with PI control. The primary control, type-2 fuzzy logic control, has three inputs—distance, navigation, and speed. The fuzzy system’s output is the st

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Precup, Radu-Emil, Stefan Preitl, Claudia-Adina Bojan-Dragos, Elena-Lorena Hedrea, Raul-Cristian Roman, and Emil M. Petriu. "A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS." Facta Universitatis, Series: Mechanical Engineering 20, no. 1 (2022): 021. http://dx.doi.org/10.22190/fume220111005p.

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Servo systems become more and more important in control systems applications in various fields as both separate control systems and actuators. Ensuring very good control system performance using few information on the servo system model (viewed as a controlled process) is a challenging task. Starting with authors’ results on data-driven model-free control, fuzzy control and the indirect model-free tuning of fuzzy controllers, this paper suggests a low-cost approach to the data-driven fuzzy control of servo systems. The data-driven fuzzy control approach consists of six steps: (i) open-loop dat

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Iyer, Kaushikk Ravender, David Keeling, and Richard M. Hall. "Verification and Validation of Advanced Control Systems for a Spinal Joint Wear Simulator." Bioengineering 11, no. 8 (2024): 779. http://dx.doi.org/10.3390/bioengineering11080779.

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Wear simulation aims to assess wear rates and their dependence on factors like load, kinematics, temperature, and implant orientation. Despite its significance, there is a notable gap in research concerning advancements in simulator control systems and the testing of clinically relevant waveforms. This study addresses this gap by focusing on enhancing the conventional proportional–integral–derivative (PID) controller used in joint simulators through the development of a fuzzy logic-based controller. Leveraging a single-input multiple-output (SIMO) fuzzy logic control system, this study aimed t

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Mugheri, N. H., and M. U. Keerio. "An Optimal Fuzzy Logic-based PI Controller for the Speed Control of an Induction Motor using the V/F Method." Engineering, Technology & Applied Science Research 11, no. 4 (2021): 7399–404. http://dx.doi.org/10.48084/etasr.4255.

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The Induction Motor (IM) is popular because of its low price, higher efficiency, and low maintenance cost. A comparative analysis of IM speed controllers using Voltage/Frequency (V/F) control or Scalar Control (SC) is presented in this paper. SC is commonly used due to its ease of implementation, simplicity, and low cost. To decrease the difficulty and cost of hardware implementation, this paper proposes an optimal Fuzzy Proportional Integral (Fuzzy-PI) controller. Firstly, the speed of IM using the V/F control technique is discussed. Then, speed control of IM using a conventional PI controlle

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Gopal Reddy, S., S. Ganapathy, and M. Manikandan. "Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller." Electrical Engineering & Electromechanics, no. 1 (February 17, 2022): 44–50. http://dx.doi.org/10.20998/2074-272x.2022.1.06.

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Purpose. This article proposes a new control strategy for Dynamic Voltage Restorer (DVR) in utility grid for distribution system. The proposed DVR using PI tuned fuzzy logic scheme is based on replacement of conventional DVR and voltage sag compensation in distribution system network. The novelty of the proposed work consists in presenting an enhanced PI tuned fuzzy logic algorithm to control efficiently the dynamic voltage restorer when voltage sag is suddenly occurred. Methods. The proposed algorithm which provides sophisticated and cost-effective solution for power quality problems. Our str

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Iyer, Kaushikk Ravender, David Keeling, and Richard M. Hall. "A novel and advanced control method based on Fuzzy-PI for joint wear simulators." Open Research Europe 4 (January 8, 2024): 6. http://dx.doi.org/10.12688/openreseurope.16658.1.

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Background This research presents a novel approach to improve the control performance of joint wear simulators that are used for testing prostheses. For this application, precise controller tuning and minimal tracking errors are essential to meet compliance standards like ISO 18192-1 or ISO 14242-3, and to test under realistic activities of daily living (ADL) scenarios. Methods To address these challenges, the authors propose employing a single-input-multiple-output (SIMO) fuzzy logic control system to augment the traditional proportional-integral (PI) tuning process for joint simulation. To f

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Kaushal, Jitender, and Prasenjit Basak. "Frequency control of islanded microgrid using fuzzy-PI and autotuned controllers." International Journal of Advances in Applied Sciences 8, no. 1 (2019): 64. http://dx.doi.org/10.11591/ijaas.v8.i1.pp64-72.

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<p>Any mismatch between generation and demand causes frequency to deviate from nominal value which affects the microgrid operation and reliability of power flow. The load frequency changes abnormally, which is fuzzy in nature, due to low system inertia and unpredictable variation in wind and solar irradiance level. So a frequency controller is needed to solve this problem meeting generation and demand of an islanded microgrid system considering the fuzziness in frequency fluctuation. This paper presents a case study of a hybrid microgrid system consisting of PV system, wind turbine gener

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Abdillah, Muhammad. "Adaptive Hybrid Fuzzy PI-LQR Optimal Control using Artificial Immune System via Clonal Selection for Two-Area Load Frequency Control." International Journal on Electrical Engineering and Informatics 12, no. 3 (2020): 667–85. http://dx.doi.org/10.15676/ijeei.2020.12.3.14.

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Load frequency control (LFC) problem has been a foremost issue in electrical power system operation and is becoming more important recently with growing size, changing structure, and complexity in interconnected power systems. In general, LFC system utilizes simple proportional integral (PI) controller. However, due to the PI control parameters are commonly adjusted based on classical or trial-error method (TEM), it is incapable of obtaining good dynamic performance for a wide range of operating conditions and various load change scenarios in a multi-area power system. This paper introduces a

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Li, Hongyan, Yongming Li, and Zhen Xie. "Design of Fuzzy Controller for Lithium Battery Formation LLC Converter Based on Sparrow Search Algorithm Optimization." Journal of Physics: Conference Series 2656, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1742-6596/2656/1/012019.

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Abstract This paper provides a novel fuzzy PI controller design for LLC resonant converters that make use of the sparrow search algorithm optimization. The LLC resonant converter is a complex nonlinear and time-varying system. As the trend in lithium battery energy conversion systems shifts toward high-power applications, they frequently encounter wide load variations. When employing traditional linear PI controllers of LLC resonant converters, the transient response is slow and fails to adapt effectively to the requirements of wide load changes. In this proposed approach, fuzzy control and PI

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Li, Bing, and Yue Zhen Feng. "Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor." Applied Mechanics and Materials 303-306 (February 2013): 1204–8. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1204.

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In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIM

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Zhou, Kai Jie, and Pei Pei Cao. "Simulation of DC-Side Voltage for Shunt Active Power Filter with Fuzzy PI Controller." Advanced Materials Research 1049-1050 (October 2014): 771–74. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.771.

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Traditional PI control strategy for DC-side Voltage of Active Power Filter is difficult to determine parameters, so a parameter self-setting fuzzy PI controller is proposed. Analyzing the principle of APF revealed that the compensation ability to harmonic current is closely related to the dc-side voltage. In the fuzzy control rules, the deviation and its changing rate of actual current from given current are input variables and the PI parameters can be self-adjusting. MATLAB simulation results show that: the fuzzy PI control strategy for dc link voltage, the dc side voltage is more stable, APF

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Bu, Wenshao, Shihao Guo, Zongang Fan, and Jinwei Li. "Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor." Energies 18, no. 2 (2025): 362. https://doi.org/10.3390/en18020362.

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The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadvantages, such as poor adaptive ability and large overshooting. This work redevelops the structure and rules of the adaptive fuzzy controller, and proposes and proves an improved adaptive PI-like fuzzy control algorithm for the PMSM system. Firstly, a parallel dual fuzzy controller structure is const

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S., Gopal Reddy, Ganapathy S., and Manikandan M. "Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller." Electrical Engineering & Electromechanics, no. 1 (February 17, 2022): 44–50. https://doi.org/10.20998/2074-272X.2022.1.06.

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<strong><em>Purpose.</em></strong> <em>This article proposes a new control strategy for Dynamic Voltage Restorer (DVR) in utility grid for distribution system. The proposed DVR using PI tuned fuzzy logic scheme is based on replacement of conventional DVR and voltage sag compensation in distribution system network.<strong> The novelty</strong> of the proposed work consists in presenting an enhanced PI tuned fuzzy logic algorithm to control efficiently the dynamic voltage restorer when voltage sag is suddenly occurred.<strong> Methods</strong><strong>.</strong> The propo

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