Motor DC PID System Regulator for Mini Conveyor Drive Based-on Matlab

Latif, Abdul; Arfianto, Afif Zuhri; Widodo, Hendro Agus; Rahim, Robbi; T.Helmy, Elsayed

doi:10.18196/jrc.1636

Cited by 18 publications

(13 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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. The same concept was used, but LabVIEW software was used in the research reported by Saad et al [26].…”

Section: General Architecturementioning

confidence: 95%

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

Supriyono,

Alanro,

Supardi

2024

JNTE

View full text Add to dashboard Cite

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

show abstract

Section: General Architecturementioning

confidence: 95%

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

Supriyono,

Alanro,

Supardi

2024

JNTE

View full text Add to dashboard Cite

show abstract

“…Rotary encoder is a transducerused to calculate rotation speed from the device [18]. Based on the rotary encoder specification data used in this device, it provides 360 pulses in one rotation (Fig.…”

Section: Rotary Encodermentioning

confidence: 99%

Rotary speed control on Continuous Passive Motion (CPM) Therapy Machine Device with PI Control

Noviyanto,

Aji Nugraha,

Anurogo

2024

JPL

View full text Add to dashboard Cite

Continuous Passive Motion (CPM) Machine is a therapeutic device that is used to assist the process of therapy and recovery of a patient after having joint surgeryor injury of the ankle. In this research, a CPM machine will be developed for ankle joint therapy. The rotation speed of the CPM machine will be controlled by a DC motor which is used to drive the ankle joint therapy device.Speed control for DC motor is used on a therapeutic device (CPM machine) to determine the level of the therapeutic process; therefore this device can be adjusted to the needs of the patient who will use the therapeutic device. Speed control of the DC motor that will be carried out in this research is using Proportional Integral (PI) control. With the PI control, the result of output will always be compared with the set point value. The result of this comparison will provide an error value, which later the error value will be processed by PI control.The PI values used in this research are Kp 5 and Ki 15.The test results of the CPM movement speed show that the difference between the set point and the resulting movement is 1 RPM. Where the speed tested on this tool is 3 RPM and 5 RPM. So, the output of this device will be as expected. In brief of this research, a therapeutic device that can be adjusted the rotational speed as expected.

show abstract

“…It also has low power and good performance [3]. DC motors have been widely applied in various applications, such as in mobile robots [4] [5][6] [7], mini conveyors [8], and electric vehicles [9].…”

Section: Introductionmentioning

confidence: 99%

Improved LQR Control Using PSO Optimization and Kalman Filter Estimator

et al. 2022

View full text Add to dashboard Cite

The electric motor is a device that converts electrical power into mechanical power. The DC motor has some advantages compared to the AC motor on its easier way to control the speed or position and wide adjustable range. The alternative solution for a control method with simple, easy to design, and can be implemented in a multi-input multi-output system is the integral state feedback such as LQR. The weakness of LQR control is that there is no exact method to determine the best value of matrix Q and R used to calculate the state feedback gain. Therefore, it was chosen by trial (manually tuned). This paper proposed an improved LQR control using PSO optimization and the Kalman filter estimator. The PSO is used to find optimal Q and R value while the Kalman filter is used to reduce the number of sensors used to measure the system state. Both performance and energy consumption were compared by using IAE and total energy consumption. The simulation results showed that the proposed method is superior in performance and energy compared to manually tuned LQR. The hardware implementation proves that the proposed method has the smallest IAE, whereas the smallest energy is manually tuned LQR. The proposed method can reduce the IAE by 11.28% with 1% higher energy compared to manually tuned LQR.

show abstract

Motor DC PID System Regulator for Mini Conveyor Drive Based-on Matlab

Cited by 18 publications

References 22 publications

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

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

Rotary speed control on Continuous Passive Motion (CPM) Therapy Machine Device with PI Control

Improved LQR Control Using PSO Optimization and Kalman Filter Estimator

Contact Info

Product

Resources

About