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DC Motor Speed Control Using Dual Full-Bridge Driver in Proteus Simulation | ||
| Modeling and Simulation in Electrical and Electronics Engineering | ||
| دوره 3، شماره 2 - شماره پیاپی 12، آبان 2023، صفحه 53-59 اصل مقاله (550.44 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/mseee.2025.34441.1166 | ||
| نویسندگان | ||
| Ekki kurniawan* 1؛ Muhammad Yusuf Darmawan2؛ Anka Sidqi2 | ||
| 1Jl Batik Pekalongan No 11 Bandung 40123 Indonesia. | ||
| 2Department of Electrical Engineering, Telkom University, Bandung, Indonesia. | ||
| تاریخ دریافت: 01 تیر 1403، تاریخ پذیرش: 17 دی 1403 | ||
| چکیده | ||
| Controlling the speed and direction of DC motor rotation is vital in various industrial and educational applications. However, many college students do not understand the characteristics and control of DC motors. Therefore, this study aims to study the simulation of DC motors using the L298 motor driver and Arduino platform with the help of Proteus software. This study focuses on the simulation of controlling the speed and direction of DC motors using a potentiometer as a speed controller and a switch to change the direction of motor rotation (clock and anti-clock). The ACS712 current sensor and voltage sensor are used to monitor the current, voltage, and power displayed on the LCD screen. By using Arduino as a microcontroller, this system allows precise control and real-time monitoring of the motor's electrical parameters. The simulation results show that the designed system can control the speed and direction of DC motors well and provide important information about the operational characteristics of the motor. This study not only offers theoretical insights but also practical applications in the development of efficient and effective motor control systems. Thus, this study is expected to be an essential reference for students, researchers, and practitioners in understanding and developing better motor control systems. | ||
| کلیدواژه‌ها | ||
| DC Motor؛ Proteus Simulation؛ Arduino؛ Current and Voltage Sensors | ||
| مراجع | ||
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[10] A. Abdulhafedh, “Incorporating Multiple Linear Regression in Predicting the House Prices Using a Big Real Estate Dataset with 80 Independent Variables,” OAlib, vol. 09, no. 01, 2022, doi: 10.4236/oalib.1108346.
[11] K. Rungsubjaroen, C. Wisunyakhajorndej, P. Pholsawut, C. Srinuankla, and W. Nuitum, “Human Resource Management Optimization A case study
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