Implementation and validation of quadral-duty digital PWM to develop a cost-optimized ASIC for BLDC motor drive

Mishra, Pratikanta; Banerjee, Atanu; Ghosh, Mousam; Gogoi, Sushanta; Meher, Pramod Kumar

doi:10.1016/j.conengprac.2021.104752

Cited by 10 publications

(7 citation statements)

References 43 publications

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“…Penggerak ini membutuhkan suatu metode kontrol untuk mengendalikan kecepatan putarannya. Metode kontrol PWM cukup populer digunakan untuk mengendalikan kecepatan putaran motor DC [4][5]. Selain itu, metode kontrol PID juga banyak diandalkan dalam mengatur kecepatan motor DC karena mampu menghasilkan respon sistem yang sangat baik dengan overshoot dibawah 10% [6][7] dan menggunakan mikrokontroler (MCU) sebagai kontroler utama.…”

Section: Pendahuluanunclassified

Implementasi sistem SCADA dengan metode kontrol PID pada motor DC penggerak conveyor belt

Khairuddin¹,

Amalia

Budi³

et al. 2022

eltek

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Sistem SCADA (Supervisory Control and Data Acquisition) merupakan teknologi komputer yang banyak digunakan pada sistem kendali di dunia industri saat ini. Pada penelitian ini sistem SCADA digunakan pada plant motor penggerak konveyor karena plant tersebut sangat banyak digunakan di industri, hampir semua jenis industri menggunakan konveyor untuk memindahkan barang dari satu tempat ketempat lainnya. Implementasi kontrol yang digunakan pada penelitian ini adalah metode kontrol PID (Proportional Integral Derivative) yang akan mengoreksi error secara otomatis dari pengukuran variabel input sensor kecepatan dengan menggunakan rotary encoder sehingga kecepatan putaran motor DC bisa sesuai dengan nilai setpoint yang ditentukan melalui sistem SCADA. Kontroler utama pada sistem ini adalah PLC (Programmable Logic Controller) Siemens S7-1200 yang berperan sebagai RTU (Remote Terminal Unit) pada sistem SCADA. Nilai parameter PID yang ditentukan pada sistem SCADA adalah Kp = 0,25, Ti = 0,8 dan Td= 0,08. Berdasarkan hasil pengujian, sistem SCADA bisa mengendalikan plant dengan baik dengan nilai error steady state sebesar 1,1% - 3,4% baik saat conveyor belt bekerja dengan beban maupun tanpa beban. Dengan sistem SCADA, monitoring sistem bisa dilakukan dari jarak jauh tanpa harus datang langsung ke lokasi tempat plant berada sehingga lebih memudahkan proses monitoring dan kontrol plant di dunia industri. ABSTRACT The SCADA (Supervisory Control and Data Acquisition) system is a computer technology that is widely used in control systems in today's industrial world. In this study, the SCADA system was used in a motor conveyor driving because the plant is very widely used in industry, almost all types of industry use conveyors to move goods from one place to another. The control implementation used in this study is the PID (Proportional Integral Derivative) control method which will correct errors of the speed sensor input variable using a rotary encoder so that the DC motor rotation speed match the setpoint value determined through the SCADA system. The main controller in this system is the Siemens S7-1200 PLC (Programmable Logic Controller) which acts as the RTU (Remote Terminal Unit) on the SCADA system. The PID parameter values determined in the SCADA system are Kp = 0.25, Ti = 0.8 and Td = 0.08. Based on the test results, the SCADA system can control the plant well with a steady state error value of 1.1% - 3.4% both when the conveyor belt is working with or without load. With the SCADA system, monitoring the system can be done remotely without having to come directly to the location where the plant is located, making it easier for the process of monitoring and controlling plants in the industrial world.

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Section: Pendahuluanunclassified

Implementasi sistem SCADA dengan metode kontrol PID pada motor DC penggerak conveyor belt

Khairuddin¹,

Amalia

Budi³

et al. 2022

eltek

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“…The switching frequency of this PWM signal is of great importance. Parameters related to the time constant are directly related to the switching frequency and rotor frequency [4]. BLDC motor is classified into two categories based on its mechanical structures: bearing, housing, rotor, and stator assembly, and BLDC motor control approaches [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effect of Switching Frequency on Acoustic Noise in External Rotor Brushless DC Motors

Er,

Demirsoy,

Fenercioglu

2024

Balkan Journal of Electrical and Computer Engineering

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Electric motors are actively used in various industries. Acoustic noise is crucial in electric motors, and specific standards are depending on their application areas. Despite better performance, including acoustic noise, than brushed motors, brushless motors still generate acoustic noise due to their mechanical, electrical, and electronic components. This study investigated the impact of varying the switching frequency through the driver on the acoustic noise of an external rotor brushless DC motor. Tests were conducted on a surface-mounted magnet brushless motor with different switching frequencies, and detailed information about the sections of the control board governing the brushless motor was provided. The study includes measurements of motor speed, current, switching frequency, phase signal, and acoustic noise measured at two different locations in decibels. It was observed that the acoustic noise increased at specific switching frequencies. Furthermore, the variation in switching frequency also affected the heating due to losses in the switching elements. Increasing the switching frequency in the 12-28 kHz range reduced motor speed and the measured acoustic noise, while temperature increases were observed in various frequency ranges.

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“…Therefore, the quality of the control algorithm directly determines the quality of the control of the electronic governor. Internationally, outstanding achievements have been made in the process of researching control algorithms [19][20][21][22][23][24][25][26][27], such as: PID control algorithm, fuzzy control algorithm, fuzzy PID control algorithm, current double closed-loop control algorithm, RBF neural network control algorithm, etc. However, with the improvement of control accuracy requirements, these control algorithms are no longer able to meet existing requirements well.…”

Section: Introductionmentioning

confidence: 99%

Speed Control and Optimization of Variable Speed Diesel Generator Set

2024

Teh. vjesn.

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The fuel consumption rate of a diesel engine is closely related to its operating speed. In order to minimize the fuel consumption rate of the diesel engine, this paper studies the optimal operating speed of the diesel generator set, and designs the optimal operating speed curve of the diesel generator based on the actual situation. Aiming at the phenomenon that the load changes at any time in the actual working condition of the diesel generator set, this paper designs a fuzzy adaptive PID control algorithm for the diesel engine governor and realizes algorithm optimization. Using MATLAB platform simulation analysis, it is verified that the fuzzy adaptive PID controller after algorithm optimization has better dynamic response and stability performance in diesel generator system.

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Implementation and validation of quadral-duty digital PWM to develop a cost-optimized ASIC for BLDC motor drive

Cited by 10 publications

References 43 publications

Implementasi sistem SCADA dengan metode kontrol PID pada motor DC penggerak conveyor belt

Implementasi sistem SCADA dengan metode kontrol PID pada motor DC penggerak conveyor belt

Analysis of the Effect of Switching Frequency on Acoustic Noise in External Rotor Brushless DC Motors

Speed Control and Optimization of Variable Speed Diesel Generator Set

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