Relevant bibliographies by topics / Fuzzy speed controller

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Fuzzy speed controller'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Fuzzy speed controller"

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Ab Rahman, Nur Naajihah, Nafrizuan Mat Yahya, and Nurul Umiza Mohd Sabari. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98. http://dx.doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzzy Simulink toolbox. Real
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Nur, Naajihah Ab Rahman, Mat Yahya Nafrizuan, and Umiza Mohd Sabari Nurul. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98–107. https://doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzz
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Muhammad, Khan Kaloi, Ali Ehsan, Mustafa Ghulam, et al. "Fuzzy-PID based control scheme for PMDC series motor speed control." Indian Journal of Science and Technology 13, no. 28 (2020): 2911–23. https://doi.org/10.17485/IJST/v13i28.653.

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Abstract <strong>Abstract Background/Objectives:</strong>&nbsp;PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Since the Fuzzy controlers are more adaptive to non-linearity. This study is to analyse a fuzzy-based speed control scheme for tuning/adusting the performance of PID controller for the purpose of speed control of DC motor under the load condition.&nbsp;<strong>Methods/Statistical Analy
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Joshi, Girisha, and Pinto Pius A J. "ANFIS controller for vector control of three phase induction motor." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (2020): 1177. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1177-1185.

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For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis
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Girisha, Joshi, and Pius A. J. Pinto. "ANFIS controller for vector control of three phase induction motor." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 3 (2020): 1177–85. https://doi.org/10.11591/ijeecs.v19.i3.pp1177-1185.

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For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis
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Sheet, Amer Farhan. "Optimization of DC motor speed control based on fuzzy logic-PID controller." Analysis and data processing systems, no. 3 (September 30, 2021): 143–53. http://dx.doi.org/10.17212/2782-2001-2021-3-143-153.

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In this paper the PID controller and the Fuzzy Logic Controller (FLC) are used to control the speed of separately excited DC motors. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to Fuzzy Logic rules. The FLC cotroller is designed according to fuzzy rules so that the system is fundamentally robust. Twenty-five fuzzy rules for self-tuning of each parameter of the PID controller are considered. The FLC has two inputs; the first one is the motor speed error (the difference between the reference and actual speed) and the second one is a cha
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Mohammed, Reham H., Ahmed M. Ismaiel, Basem E. Elnaghi, and Mohamed E. Dessouki. "African vulture optimizer algorithm based vector control induction motor drive system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2396. http://dx.doi.org/10.11591/ijece.v13i3.pp2396-2408.

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&lt;span lang="EN-US"&gt;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 wi
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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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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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Rakhi, S. Ambhore, B. Mandake Yogesh, and S. Bankar Deepak. "Simulation and Analysis of Performance of SRM by Using Different Controller." Indian Journal of Science and Technology 16, no. 25 (2023): 1910–17. https://doi.org/10.17485/IJST/v16i25.1166.

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Abstract <strong>Objectives:</strong>&nbsp;With concerns about energy efficiency, Switched Reluctance Motors (SRM) have piqued the interest of researchers in the fields of Electric Vehicle (EV) due to their robust construction, fault-tolerant operation, high starting torque without the problem of excessive inrush current, and highspeed operation. The goal of this research is Simulation and Analysis of Performance of SRM by Using Different Controller that is fuzzy logic controllers.&nbsp;<strong>Methods:</strong>&nbsp;This study represents a new modified fuzzy-pi controller (MFPI) and Adaptive
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Dissertations / Theses on the topic "Fuzzy speed controller"

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Ashraf, Ali Junaid. "DC Motor Speed Control via Fuzzy / Pole Placement / PI Controller." Thesis, Högskolan Dalarna, Elektroteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5514.

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This report presents a new way of control engineering. Dc motor speed controlled by three controllers PID, pole placement and Fuzzy controller and discusses the advantages and disadvantages of each controller for different conditions under loaded and unloaded scenarios using software Matlab. The brushless series wound Dc motor is very popular in industrial application and control systems because of the high torque density, high efficiency and small size. First suitable equations are developed for DC motor. PID controller is developed and tuned in order to get faster step response. The simulati
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Khor, Jeen Ghee. "An intelligent controller for synchronous generators." Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/4125.

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Saragioto, Sérgio Roberto Pinton. "Lógica `Fuzzy aplicada ao controlador de velocidade de uma linha de montagem de eixos de veículos." Universidade de Taubaté, 2012. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=578.

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Nos últimos tempos, as empresas de manufatura tiveram profundas alterações nos ambientes de atuação promovendo novos desafios, como atender aos clientes atingindo melhores resultados. Fatores como estes conduzem as organizações a adaptações significativas, redefinindo as estratégias básicas de manufatura, de maneira a se reposicionar, formando uma condição competitiva, sejam nos serviços e processos fabris. Um dos processos frequentes nas organizações são as montagens, e por isto teve foco neste trabalho. Este trabalho teve como objetivo definir uma sistemática de controle da velocidade do mot
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Suetake, Marcelo. "Implementação de sistemas inteligentes em processadores digitais para controle de máquinas elétricas rotativas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-17032009-145725/.

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O objetivo deste trabalho consiste na implementação de arquiteturas de sistema inteligentes em Processadores Digitais de Sinais (DSP) visando, sobretudo, o controle em tempo real de motores de indução trifásicos. Para tanto, propõe-se uma abordagem fuzzy para o controle de velocidade de motores de indução trifásicos baseado na metodologia de ajuste de tensão e freqüência (Volts/Hertz) proveniente de um inversor PWM, de modo que o fluxo no entreferro seja mantido constante. O enfoque principal consiste no desenvolvimento do sistema de controle em hardware considerando o estudo dinâmico do contr
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Baldo, Rodrigo Fernando Galzerano 1978. "Controle da velocidade e da direção entre dois veículos agrícolas." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256899.

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Orientador: Paulo Sergio Graziano Magalhães<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola<br>Made available in DSpace on 2018-08-17T11:11:54Z (GMT). No. of bitstreams: 1 Baldo_RodrigoFernandoGalzerano_D.pdf: 7551305 bytes, checksum: 79820cb112b0bd3a361e8fcb752ebfba (MD5) Previous issue date: 2011<br>Resumo: Um dos problemas encontrados na colheita mecanizada da cana-de-açúcar e a falta de sincronismo entre a colhedora e o transbordo. Este problema gera perdas tanto de matéria prima como de eficiência operacional. A primeira delas ocorre quando as m
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MACÊDO, Ana Vitória de Almeida. "Inclusão de energia eólica em sistemas elétricos e controle de frequência utilizando lógica Fuzzy." Universidade Federal de Campina Grande, 2017. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1549.

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Submitted by Maria Medeiros (maria.dilva1@ufcg.edu.br) on 2018-08-24T14:29:39Z No. of bitstreams: 1 ANA VITÓRIA DE ALMEIDA MACÊDO - TESE (PPgEE) 2017.pdf: 3449345 bytes, checksum: ff78e54595b43261343d5050a8dc3e50 (MD5)<br>Made available in DSpace on 2018-08-24T14:29:39Z (GMT). No. of bitstreams: 1 ANA VITÓRIA DE ALMEIDA MACÊDO - TESE (PPgEE) 2017.pdf: 3449345 bytes, checksum: ff78e54595b43261343d5050a8dc3e50 (MD5) Previous issue date: 2017-03-29<br>CNPq<br>Um controle para auxílio do controle de frequência é projetado utilizando um método baseado em lógica fuzzy e no controle do ângulo de pa
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Milhor, Carlos Eduardo. "Proposta de um controlador difuso Takagi-Sugeno com desempenho H \'INFINITO\' para regulagem da marcha lenta em motores de ciclo Otto." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18135/tde-21012011-141452/.

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Propõe-se um controlador difuso Takagi-Sugeno com índice de desempenho H \'INFINITO\' para regulagem da marcha lenta em motores de ciclo Otto. Obtém-se uma representação difusa do motor de ciclo Otto operando em marcha lenta. Esse modelo é utilizado para a síntese do controlador. O controlador difuso com desempenho H \'INFINITO\' é projetado para rejeitar o efeito de distúrbios de cargas externas sobre a rotação do motor em regime de marcha lenta. As ações de controle, posição da borboleta de aceleração e ponto de ignição, são limitadas a uma faixa de operação específica para a marcha lenta. O
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Amêndola, Cesar Augusto Moreira. "Contribuição ao estudo de aerogeradores de velocidade e passo variáveis com gerador duplamente alimentado e sistema de controle difuso." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-06122007-142431/.

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A captação eficaz da energia eólica ocorre por meio de turbinas de três pás com ângulo de passo e velocidade de rotação ajustáveis, sendo o ajuste do ângulo de passo utilizado para limitar a captação de energia na ocorrência de ventos muito fortes e o ajuste da velocidade de rotação utilizado para maximizar a captação da energia cinética dos ventos fracos. Neste regime de operação, o gerador deve converter a energia mecânica de entrada, caracterizada por velocidade de rotação e conjugado variáveis, em energia elétrica de saída nos padrões da rede elétrica a que estão conectados, caracterizada
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Liu, Wen-Chang, and 劉文彰. "Fuzzy PI Speed Controller for PMSM." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/30735938563044097023.

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碩士<br>國立交通大學<br>電機與控制工程系<br>90<br>In general, we design a PI controller by: try-and-error or parameters-identified method. But try-and-error always takes much time to make a fine tuning, and identify-method is difficult to realize precisely.So this thesis attempts to make a controller to achive the goals of self-tuning and self-modification by a 2-stage fuzzy structure. The basic structure of controller is F.O.C.(Field-Oriented Controller). By fuzzy design procedure, we make the controller to have the ability of self-tuning, and then we apply another fuzzy mechanism to achive the go
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Chen, Wen-Chung, and 陳文鍾. "A Fuzzy Speed Controller for DC Motor." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/13881298188740691512.

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碩士<br>國立海洋大學<br>電機工程學系<br>85<br>The main purpose of this thesis is to study the design of a fuzzy speedcontroller for the direct current(DC) motor and the use of geneticalgorithms(GAs) to fine tune the parameters of fuzzy control rulesfor obtaining better system responses. First we build up a preliminary setof fuzzy control rules by analyzing the system step response. The basedon the state space model of the system, the parameters of the preliminaryset of fuzzy control rules are adjusted us
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Book chapters on the topic "Fuzzy speed controller"

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Guo, Wei, and Chuan-Wei Zhang. "Fuzzy PI Speed Controller Optimal Design for PMSM Drives." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25541-0_72.

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Ahmad, Hamzah, Wan Nur Diyana Wan Mustafa, and Mohd Rusllim Mohamed. "Adaptive Speed Control for Autonomous Mobile Robot Using Fuzzy Logic Controller." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35197-6_8.

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Cheng, Guoqiang. "Brushless DC Motor Speed Control System Based on Fuzzy PID Controller." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35211-9_37.

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Saleh, Izzati, S. S. N. Alhady, and Wan Rahiman. "Comparison of Mamdani and Sugeno Fuzzy Logic Performance as Speed Controller." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_40.

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Sapkota, Kamal, Arun Pradhan, Amit Kumar Singh, and Prativa Rai. "Speed Control of Single Phase Induction Motor Using Fuzzy Logic Controller." In Advances in Communication, Devices and Networking. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7901-6_78.

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Wang, Hongying, and Wei Zhou. "Design and Research on Fuzzy Controller in Digital Speed Control System." In Advances in Mechanical and Electronic Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31516-9_29.

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Xian, Bo. "DC Motor Angular Speed Stability Study Using The Fuzzy PID Controller." In Advances in Engineering Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-518-8_33.

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Dong, Jiao, Youneng Huang, and Huazhen Yu. "Design Method of Fuzzy Controller for Speed Control of Heavy-haul Train." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2862-0_81.

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Dimirovski, Georgi M., Yuanwei Jing, and Tao Ren. "Fuzzy Immune Controller Synthesis for ABR Traffic Control in High-Speed Networks." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03633-0_12.

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Xu, Linghui, Jia Lu, and Jian Zhang. "Speed Control of Pure Electric Vehicle Based on Adaptive Fuzzy PID Controller." In International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3575-3_3.

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Conference papers on the topic "Fuzzy speed controller"

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Kumar, Indrajeet, Anand Singh, and Sonali R. Nandanwar. "Static Synchronous Compensator Using Fuzzy-PI Controller." In 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP). IEEE, 2024. https://doi.org/10.1109/ihcsp63227.2024.10960130.

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Andoga, Rudolf, Ladislav Főző, and Ján Vaščák. "Fuzzy Adaptive Speed Controller for a Small Turbojet Engine." In 2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2024. http://dx.doi.org/10.1109/saci60582.2024.10619911.

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Kumar, Indrajeet, Anand Singh, and Sonali R. Nandanwar. "STATCOM Performance Analysis with a Fuzzy-PI Controller." In 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP). IEEE, 2024. https://doi.org/10.1109/ihcsp63227.2024.10960155.

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Latha Shenoy, K., Divya K. Pai, Jagadish Nayak, and Praveen GB. "DFIG based Power Generation Under Variable Wind Speed Using Fuzzy Controller." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673421.

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Homjan, Jeerawan, Phonsit Santiprapan, and Chakrit Panpean. "Speed Control of Separately Excited DC Motor Using Fuzzy Logic Controller." In 2024 27th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2024. https://doi.org/10.23919/icems60997.2024.10921287.

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Dewantoro, Gunawan, and Yong-Lin Kuo. "Robust speed-controlled permanent magnet synchronous motor drive using fuzzy logic controller." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007419.

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Chunhua Zang. "Vector controlled PMSM drive based on fuzzy speed controller." In 2010 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icindma.2010.5538336.

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Batayneh, Wafa, and Nash’at Nawafleh. "Comparative Study of DC Motor Speed Control Using Neural Networks and Fuzzy Logic Controller." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51362.

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This paper demonstrates the importance of the intelligent controllers over the conventional methods. A speed control of the DC motor is developed using both Neural Networks and Fuzzy logic controller in MATLAB environment as intelligent controllers. In addition a conventional PID controller is developed for comparison purposes. Both intelligent controllers are designed based on the simulation results of the nonlinear equations in addition to the expert pre knowledge of the system. The output response of the system is obtained using the two types of the intelligent controllers, in addition to t
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Jinying, A. Huang, B. Ma Bo, and C. Wang Haojing. "Design of vehicle speed controller based on immune feed-back." In 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277227.

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Kruse, Rudolf, Jörg Gebhardt, and Frank Klawonn. "A fuzzy controller for idle speed regulation." In the 1994 ACM symposium. ACM Press, 1994. http://dx.doi.org/10.1145/326619.326685.

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