Speed Control of BLDC Motor Using Adaptive Fuzzy PID Controller

Kandiban, R.; Arulmozhiyal, R.

doi:10.1016/j.proeng.2012.06.039

Cited by 69 publications

(28 citation statements)

References 4 publications

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“…Model-free approaches make the controller design simpler, since obtaining a mathematical model of the system is sometimes a very complicated task. The configuration of FLC can be divided into three parts they are, Fuzzification, Knowledge Base, and Defuzzification as listed in [12].…”

Section: ) Engine Controller Based On Flcmentioning

confidence: 99%

Analysis, Modeling, and Control of an AC Microgrid System Based on Green Energy

Oukaour¹,

Gualous²,

Youssef³

et al. 2024

RE&PQJ

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Abstract.The integration of distributed generators (DGs), electric storage system (ESS), distributed electric loads and the utility grid through the point of common coupling is called microgrid (MG) .The coordinated operation of MG and the main utility grid with variable load demand is controlled by using microgrid control center (MGCC). MGCC methodology is introduced to regulate power flow for each source depends on the outputs commands from MG energy management center (MGEMC). This paper is focused only on developing an efficient and fast MGCC based on power control mode taking into account the outputs commands from MGEMC without considering its strategy. The MG in this paper is assumed to be interconnected to the main utility gird, and can purchase some power from utility grid at off-peak hours or when the production of the MG is insufficient to meet the load demand. On the other hand, there is a daily income to the MG when the generated power exceeds the load demand during on-peak hours. The proposed MGCC and electrical power system is simulated using Matlab/Simulink.

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Section: ) Engine Controller Based On Flcmentioning

confidence: 99%

Analysis, Modeling, and Control of an AC Microgrid System Based on Green Energy

Oukaour¹,

Gualous²,

Youssef³

et al. 2024

RE&PQJ

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Section: Voltage and Speed Control Based On Flcmentioning

confidence: 99%

Modeling, Control and Optimization of a Small Scale CHP System in Island operating Mode based on Fuzzy logic controller

Oukaour¹,

Gualous²,

Youssef³

et al. 2024

RE&PQJ

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Abstract. This paper presents the modeling, control scheme and optimization of a small scale combined heat and power (SSCHP) in island operating mode. A thermo dynamic model is carried out for SSCHP engine using Carnot machine method, while an optimization technique is formulated to identify CHP engine parameters. In addition, a dynamic model is built based on a system identification toolbox for SSCHP engine to study the dynamic behavior of the SSCHP during operating mode. In island mode, the Fuzzy logic controller (FLC) is used to regulate the inputs of SSCHP, and to match electric load demand. The complete system was represented and simulated in Matlab/Simulink.

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“…Komutasi elektronik yang telah dibuat memiliki efisiensi yang tinggi, sedikit getaran, sedikit noise pada penggunaan kecepatan tinggi, sehingga menjadikan BLDC memiliki umur pemakaian yang lama dan biaya perawatan yang rendah. Sekarang motor DC Brushless banyak digunakan pada aplikasi industri, robotika, aplikasi kesehatan, dan otomotif [1], [2], [3].…”

Section: Pendahuluanunclassified

Perancangan dan Pengujian Sistem Pengendali Sudut untuk Motor DC Brushless Menggunakan Kendali Algoritma P-D

Ardiansyah¹

2017

JRE

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Abstrak-Banyak aplikasi industri menggunakan motor servo karena memiliki keakuratan tinggi dan mudah untuk diterapkan akan tetapi dengan menggunakan motor servo juga dibutuhkan biaya yang tinggi. Untuk membuat sebuah aktuator yang memiliki akurasi yang baik, dan bisa digunakan secara luas pada banyak aplikasi, maka dilakukan perancangan dan pengujian sebuah sistem pengendali posisi untuk motor DC brushless. Supaya menghasilkan pengendali posisi dengan kepresisian yang baik untuk motor DC Brushless, sistem ini dibangun dengan menggunakan sebuah mikrokontroller ATmega 2560, sebuah absolut encoder sebagai sensor umpan balik posisi, dan juga algoritma pengendali Proporsional-Derivative yang ditanamkan pada mikrokontroler. Pada akhir pengujian didapatkan bahwa sistem ini bekerja dengan toleransi sudut sebesar 1º dan kecepatan sudut rata-rata 3.88º/ms. Kata kunci: Sistem Pengendali Sudut, Motor DC Brushless, Algoritma Proporsional DerivativeAbstract-Many industrial applications use servo motor because of its accuracy and user-friendly, but by using it in an application, a higher cost is required. To make an actuator with good precision and universal purpose but with lower cost, a position control system for brushless dc motor was built. To achieve a better precision in the position control for brushless DC motor, the system is utilized with a microcontroller ATmega 2560, an absolute encoder as a position sensor, and also Proportional-Derivative closed-loop control algorithm. In the final test, we obtained that the system worked well on average angular speed about 3.88º/ms and angle tolerance about 1º.

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Speed Control of BLDC Motor Using Adaptive Fuzzy PID Controller

Cited by 69 publications

References 4 publications

Analysis, Modeling, and Control of an AC Microgrid System Based on Green Energy

Analysis, Modeling, and Control of an AC Microgrid System Based on Green Energy

Modeling, Control and Optimization of a Small Scale CHP System in Island operating Mode based on Fuzzy logic controller

Perancangan dan Pengujian Sistem Pengendali Sudut untuk Motor DC Brushless Menggunakan Kendali Algoritma P-D

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