Development of the sensorless control system BLDC motor

Zhiligotov, Ruslan; Frolov, Vladimir

doi:10.1109/eiconrus.2017.7910749

Cited by 20 publications

(4 citation statements)

References 3 publications

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“…This system consists of a Li-Po 3S battery, Arduino Uno, MPU sensor, ESC (Electronic Speed Controller), and BLDC motor as power supply, main controller, position sensor, motor driver, and motor propeller, respectively. The BLDC motor is used since it light and has the high speed and efficiency [22].…”

Section: Materials and Methods Materialsmentioning

confidence: 99%

Position Control of Vtol System Using Anfis via Hardware in the Loop

Maghfiroh

Hermanu

Hizmi

2021

Sinergi

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Electric motors have been widely applied in various equipment. One application is found in Unmanned Aerial Vehicles (UAVs). An electric motor speed control system that can balance the aircraft's position is one of the mandatory features that must be owned by the aircraft. The position balancer control also supports the Vertical Take-Off Landing (VTOL) system. This study's VTOL position control system uses Hardware-in-the-loop (HIL) method with MATLAB Simulink and Arduino. ANFIS (Adaptive Neuro-Fuzzy Inferences System) is used as a position control algorithm. The controller performance is compared with conventional PID and FLC (Fuzzy Logic Controller). The system is tested as an initial position variation and loading test. The experiment shows that HIL can help fast prototyping by faster changes in the controller algorithms and is easy to program. The result is varied in each experiment. In the ISE (Integral Square of Error) point of view, ANFIS is better than PID by 100 % and has a very small difference from FLC in the initial position test. ANFIS is better by 95.44% and 4.56% compared with PID and FLC in the loading test, respectively.

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Section: Materials and Methods Materialsmentioning

confidence: 99%

Position Control of Vtol System Using Anfis via Hardware in the Loop

Maghfiroh

Hermanu

Hizmi

2021

Sinergi

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“…Hal ini terjadi karena PWM yang digunakan dalam metode ini merupakan PWM square dengan frekuensi tertentu sehingga menciptakan gelombang AC yang berbentuk trapezoid atau gelombang square [19]. Dengan menggunakan PWM yang terdiri dari 2 di bagian positif, 2 di bagian negatif, dan 2 bagian berpotongan dengan titik 0 yang bagian memiliki besar 60 o gelombang sinusoida [20]. Untuk algoritme PWM six step ditunjukkan pada Gambar 4.…”

Section: Motor Brushless Direct Current (Bldc)unclassified

“…Oleh karena itu dalam penelitian ini, akan dibahas mengenai rancangan sistem penstabil kecepatan pada mobil listrik dengan menggunakan kontrol PID [8]. Menggunakan kontrol PID ini untuk mempercepat proses menuju steady state dari kecepatan motor BLDC, serta menstabilkan kecepatan putaran secara otomatis [9][10][11][12]. Kemudian pada sistem kali ini akan diberikan 1 nilai set point sebagai kecepatan dari mobil listrik yaitu sebesar 30 km/jam.…”

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Alat Penstabil Kecepatan Motor BLDC Menggunakan Kontrol PID

Putri

Sutedjo

Qudsi

et al. 2022

emitor

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Kebutuhan manusia akan energi semakin hari semakin meningkat, namun seiring perkembangan zaman ketersediaan bahan bakar fosil seperti minyak, gas alam, dan batu bara semakin hari semakin menurun. Ketersediaan bahan bakar fosil yang semakin menurun ini diakibat kan oleh penggunaan kendaraan sebagai alat transpotasi. Kendaraan listrik merupakan sebuah alternatif disaat ketersediaan bahan bakar fosil yang semakin menurun. Terdapat berbagai jenis motor yang bisa digunakan pada kendaraan listrik, dan salah satunya yaitu motor Brushless Direct Current (BLDC) yang memiliki banyak kelebihan jika di bandingkan dengan motor lainnya. Pada Tugas Akhir kali ini kontrol kecepatan motor BLDC menggunakan six step communication dengan kontrol PID, yang mana rangkaian six step communication ini digunakan untuk merubah tegangan sumber DC ke AC 3 phasa. Dan digunakannya kontrol PID ini untuk mempercepat proses menuju steady state dari kecepatan motor BLDC, serta menstabilkan kecepatan putaran secara dengan set point menggunakan kecepatan standart dalam kota sebesar 30 km/jam atau sebesar 500 RPM. Namun, pada proyek akhir kali ini akan lebih terfokuskan pada respon motor BLDC terhadap kontrol PID yang diberikan dengan Kp = 4.9505, Ki = 0.266156, Kd = 18.4158. Dan hasil menunjukkan bahwa kecepatan motor BLDC bisa stabil di bawah nilai set point yaitu 498 RPM. Kemudian dilakukan juga sebuah pengereman untuk memperlihatkan kontrol PID sudah bekerja dengan baik, dan untuk pengereman bisa menurunkan kecepatan motor hingga 498 RPM.

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“…To deal with those issues, advanced sensorless methods are proposed. These new closed-loop algorithms are based on nonlinear control methods, for instance, sliding-mode observer (SMO) [11], [12], and stochastic filters. Stochastic filters are powerful tools for the system control in the presence of system uncertainties and external noise signals.…”

mentioning

confidence: 99%

Analysis and Modification of a Particle Filter Algorithm for Sensorless Control of BLDC Machine

Sabzevari

Chulaee

Abdi

2020

2020 International Conference on Electrical Machines (ICEM)

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This paper investigates the performance of a newly developed particle filter (PF) algorithm for sensorless control of the Brushless DC (BLDC) machines. A number of modifications have also been incorporated to the proposed PF algorithm in order to improve its performance with respect to resampling process and robust operation when unpredicted disturbances are occurred. The disturbances investigated in this paper include the presence of unconventional Non-Gaussian noises, changes in machine's parameters, and occurrence of inter-turn short circuit fault. In addition, the paper proposes several measures in order to improve the estimation accuracy of the filter and enhance the filter robustness against system uncertainties. In order to evaluate the performance of the PF algorithm, the sensorless control system of a 1.5 kW BLDC machine is simulated in MATLAB/Simulink environment. Simulation results show that the introduced techniques considerably improve the performance of the PF algorithm as state estimator.

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Development of the sensorless control system BLDC motor

Cited by 20 publications

References 3 publications

Position Control of Vtol System Using Anfis via Hardware in the Loop

Position Control of Vtol System Using Anfis via Hardware in the Loop

Alat Penstabil Kecepatan Motor BLDC Menggunakan Kontrol PID

Analysis and Modification of a Particle Filter Algorithm for Sensorless Control of BLDC Machine

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