Automatic Speed Controller of a DC Motor Using Arduino, for Laboratory Applications

Syllignakis, J.; Panagiotakopoulos, P.; Karapidakis, Emmanuel

doi:10.22618/tp.ei.20163.389029

Cited by 3 publications

(4 citation statements)

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“…The block diagram shows that the developed system combines microcontroller-based and Matlab software. This combination was also used by previous researchers such as Syllignakis et al [23]. Another model combination of microcontroller and Matlab for controlling a DC motor was reported by Latif et al [24] and Rex and Praba [25], where Matlab was used for inputting PID variable constants and giving control commands to the microcontroller.…”

Section: General Architecturementioning

confidence: 95%

“…Using the obtained DC motor control system, students could learn practical designing PID control using digital instruments and Matlab software compared to control in [16] [17], which controlled the DC motor using Ziegler-Nichols in a whole simulation environment. Compared to the control system in [23] [27], the obtained DC motor control is more suitable for practical laboratory works because the developed system has a feature to record transient response data in a spreadsheet file, which can then be used for displaying it and further analysis especially its maximum overshoot and settling time. Besides, the article in [27] used a scale button to increase or decrease the DC motor speed without a keypad to input a particular set point value.…”

Section: Comparison To Previous Workmentioning

confidence: 99%

“…Besides, the article in [27] used a scale button to increase or decrease the DC motor speed without a keypad to input a particular set point value. Moreover, works in [23] [27] also did not have features to input the Kp, Ki, and Kd parameters for experimental purposes.…”

Section: Comparison To Previous Workmentioning

confidence: 99%

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Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer

Supriyono,

Alanro,

Supardi

2024

JNTE

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DC motors are widely used as propulsions, including in electric bicycles. The problem faced by students in the DC motor control laboratory working using software simulation is that they do not have practical learning experience using digital instruments. This article aims to develop a DC motor speed control that can be used to learn practical Proportional Integral Derivative (PID) control in the laboratory. The DC motor speed control was developed using a combination of Arduino UNO microcontroller and Matlab software. The PID method was used because it is still broadly studied and applied in industries. The test results showed that the developed trainer can work well with PID variable values that can be entered via the keypad, and DC motor transient responses can be displayed in Matlab. From the experimental results, it was found that the optimal PID variable values were Kp=0.04, Ki=0.05, and Kd=0.004, where the controller produced a low overshoot value, i.e., 0.73% of its set point and a settling time of 10.66 seconds. The test results of using the developed trainer in the Fundamental of Control Engineering laboratory work showed that the developed trainer gave students practical learning experience in designing PID control for DC motor speed by using digital equipment, i.e., microcontroller and actual DC motor as well as analyzing its corresponding transient response in Matlab software environment

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Section: General Architecturementioning

confidence: 95%

Section: Comparison To Previous Workmentioning

confidence: 99%

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Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer

Supriyono,

Alanro,

Supardi

2024

JNTE

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“…To control the speed of DC motor, there are three methods: armature voltage control, armature resistance control and field resistance control. The method used in this study is the first one, the armature volt practical and the most observable one [18,19].…”

Section: Motor Modelingmentioning

confidence: 99%

Robust Control Simulation and Implementation for DC Motor

Ameur¹,

Ameur²,

Ameur³

2022

JESA

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The sliding mode controller has been suggested to achieve robust performance against parameter variations and load disturbances. It also offers a fast dynamic response, stable control system and easy hardware-software implementation. This paper focuses the application of this approach to the adjustment of a speed control DC motor, in Matlab Simulink simulation and Arduino hardware implementation, The main goal of this paper is to improve the performances of DC motor controlling by sliding mode. In first the modeling of DC motor is well explained in this paper, is important step for control of system, secondly the basic theory regarding sliding mode controller SMC using Lyapunovis function is presented. Finley the application of SMC using Matlab simulation and Arduino implementation for DC motor, the results show that SMC has a better performance compared to PI which is faster settling time and no overshoot and undershoot, could be used as an alternative controller for the DC Motor.

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