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Relevant bibliographies by topics / Fuzzylogic controller

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Journal articles

Academic literature on the topic 'Fuzzylogic controller'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Fuzzylogic controller"

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Bujak, Krystian, Norbert Grzesik, and Konrad Kuźma. "The Use of a Fuzzy Logic to Eliminate an Error in Measuring the Flight Altitude of the W-3 „Sokół” Helicopter." Journal of KONBiN 45, no. 1 (2018): 125–41. http://dx.doi.org/10.2478/jok-2018-0007.

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Abstract Along with the growing technology, helicopters are equipped with increasingly complex avionics and operational control systems. Such devices use a variety of input signals in order to enhance their performance. Owing to the use of electronic control systems, modern helicopters have a wide range of possibilities, both in terms of manoeuvrability and combat. The article presents a case study of designing equipment control systems on the example of a radio altimeter, which is mounted onboard the W-3 “Sokół” helicopter. The primary assumption was to design a fuzzy controller using FuzzyLo

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Boudouane, Meriem, Lahoussine Elmahni, Rachid Zriouile, and Soufyane Ait El Ouahab. "Advancing solar energy harvesting: Artificial intelligence approaches to maximum power point tracking." International Journal of Power Electronics and Drive System 16, no. 1 (2025): 55–69. https://doi.org/10.11591/ijpeds.v16.i1.pp55-69.

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This paper presents a comparative study of five maximum power point tracking(MPPT) control techniques in photovoltaic (PV) systems. The algorithmsevaluated include classical methods, such as perturb and observe (P&O) andincremental conductance (IC), as well as intelligent approaches such as fuzzylogic (FL), artificial neural networks (ANNs), and adaptive neuro-fuzzy inferencesystem (ANFIS). Intelligent methods provide faster response times andfewer oscillations around the maximum power point (MPP). The structure of thePV system includes a PV generator, load, and DC/DC boost converter drive

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Isnainy, Vany, Edi Sulistio Budi, and Hardjono Hardjono. "Pengontrolan pH Menggunakan Algoritma Logika Fuzzy pada Pengolahan Limbah Cairan Kimia." Jurnal Elektronika dan Otomasi Industri 4, no. 3 (2020): 39. http://dx.doi.org/10.33795/elkolind.v4i3.121.

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Laboratorium Pengolahan Limbah Cairan Kimiamerupakan tempat untuk melakukan kegiatan praktikum,eksperimen, penelitian, dan pembelajaran. Limbah dariLaboratorium Pengolahan Limbah Cairan Kimia bisamenyebabkan pencemaran lingkungan. Untuk menghasilkanpH nomal yaitu 7, dibutuhkan sistem kontrol pH air. Aplikasidari fuzzy logic controller diharapkan untuk memecahkanmasalah pH air dalam sistem penetralan cairan limbah.Kebutuhan sistem pengendalian pH pada pengolah limbah diLaboratorium pengolahan limbah cairan kimia menjadi sangatpenting. Proses netralisasi pH adalah pencampuran antaralarutan asam

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Wiadnya Wiantara, I. Dewa Gede, I. Made Mataram, and Ida Bagus Gd Manuaba. "PENGGUNAAN KAPASITOR BANK UNTUK MEMPERBAIKI FAKTOR DAYA DAN MENGURANGI RUGI-RUGI DAYA MENGGUNAKAN FUZZY LOGIC CONTROLLER DI QUEST HOTEL KUTA BADUNG." Jurnal SPEKTRUM 7, no. 1 (2020): 102. http://dx.doi.org/10.24843/spektrum.2020.v07.i01.p15.

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Quest Hotel Kuta is a place of business engaged in lodging services. To support operationalneeds, the hotel uses electrical equipment, most of which are inductive. The use of high inductiveloads can produce high reactive power, depending on the power factor because the active powerobtained from the installed power will be less. Based on the measurement results at Quest Hotel Kutathe measured power factor is 0.70, while PLN charges the excess cost of kVARH to the customer ifthe average power factor is less than 0.85. To be able to improve the low power factor can be done byusing a capacitor ban

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K., Bhavyasri*1 &. K. Shalini2. "A HYBRID STATCOM WITH WIDE COMPENSATION RANGE BY USING FUZZY LOGIC CONTROLLER FOR UNBALANCED LOADS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 8 (2017): 366–77. https://doi.org/10.5281/zenodo.848572.

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This paper proposes a hybrid static synchronous compensator (crossover STATCOM) in a three-phase control transmission system that has a wide remuneration range and low DC-connect voltage with fuzzy logic controller. As a result of these noticeable attributes, the system expenses can be significantly lessened. In this paper, the circuit setup of hybrid STATCOM is presented first. Its V-I characteristics is then broke down, examined, and contrasted and conventional STATCOM and capacitive-coupled STATCOM (C-STATCOM). The system parameter configuration is then proposed on the premise of thought of

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Abdel-Hamid, A. M. "A Novel Approach To Improve The Performance Of FuzzyLogic Based Controllers For Systems With Wide Range disturbances And Uncertain Parameters." ERJ. Engineering Research Journal 22, no. 3 (1999): 41–56. http://dx.doi.org/10.21608/erjm.1999.72449.

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Yao-Tien, Wang, Yu Hsiang-Fu, and Chen Chiou Dung. "A Grey-Fuzzy Controller for Optimization Technique in Wireless Networks." May 26, 2010. https://doi.org/10.5281/zenodo.1085008.

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In wireless and mobile communications, this progress provides opportunities for introducing new standards and improving existing services. Supporting multimedia traffic with wireless networks quality of service (QoS). In this paper, a grey-fuzzy controller for radio resource management (GF-RRM) is presented to maximize the number of the served calls and QoS provision in wireless networks. In a wireless network, the call arrival rate, the call duration and the communication overhead between the base stations and the control center are vague and uncertain. In this paper, we develop a method to p

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