Kajian Aspek Kecepatan dan Ketepatan pada Sun Tracker Dua Sumbu Berbasis Sensor Berbentuk Tetrahedron

Azmi, Saddam; Away, Yuwaldi; Sara, Ira Devi

doi:10.17529/jre.v15i2.13546

Cited by 6 publications

(6 citation statements)

References 7 publications

(9 reference statements)

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“…Penelitian mengenai penjejak cahaya telah ada sebelumnya menggunakan algoritma PID [1]. Fokus penelitian tersebut adalah mengkaji tingkat ketepatan dan kecepatan penjejak cahaya untuk meningkatkan pemanfaatan energi yang dihasilkan oleh panel surya.…”

Section: Pendahuluanunclassified

Komparasi Performansi Antara Proportional Integral Derivative Controller (PID) Dan Fuzzy Logic Controller (FLC) Pada Penjejak Cahaya Dengan Tiga Sensor

Gunawan¹,

Away²,

Sara³

et al. 2022

eltikom

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The technology of light tracking monitors the solar panels to track the sun with full efficiency, and the solar panels can be upright to the sunlight in order to maximize the absorption of solar energy, so this system has a higher efficiency than non-tracking systems. This study aimed to obtain a controller that works accurately between the Proportional, Integral, and Derivative Controller (PID) and the Fuzzy Logic Controller (FLC) Algorithm by comparing the performance of the two algorithms in regulating the direction of the light tracker to detect the presence of sunlight. This solar prototype uses nine lamps as a simulation to determine the accuracy and precision of the angles of the two light trackers. The parameters compared in this test were the aspects of angular velocity and angle accuracy. The mean value of angular velocity obtained from the PID light tracking test results was 0.16 rad/s and the average linear velocity was 0.092 m/s whereas in the FLC light tracker, the average angular velocity value was 0.207 rad/s. Tests using a PID light tracker resulted in an X-axis accuracy of 45% and a Y-axis accuracy of 30%. The FLC light tracker, on the other hand, had an X-axis accuracy of 80% and a Y-axis accuracy of 30%.The precision value obtained by the PID light tracker on the X axis was 45% and the Y axis was 38%, while the precision value obtained by the FLC light tracker on the X axis was 71% and the Y axis was 33%. Based on the overall calculations, it can be concluded that the FLC light tracker has an increase in the speed value of 29% and an increase in the value of accuracy in the accuracy aspect by 35% and the precision aspect by 26% compared to the PID light tracker in previous studies.

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Section: Pendahuluanunclassified

Komparasi Performansi Antara Proportional Integral Derivative Controller (PID) Dan Fuzzy Logic Controller (FLC) Pada Penjejak Cahaya Dengan Tiga Sensor

Gunawan¹,

Away²,

Sara³

et al. 2022

eltikom

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“…The PD control system has a low level of precision, while the PID control system has a low level of accuracy. Studies [4] and [28] are previous studies that also investigated the sensor-based tetrahedron. However, this study uses different sensor designs and mechanisms.…”

Section: Analysis Of Accuracy and Precisionmentioning

confidence: 99%

“…This proves that the P control system in this study is better than the previous study. Then in the study [28], which also uses a PID control system, the MAE value is 0.65 on the X-axis and 0.54 on the Y-axis. Comparison with the P control system obtains a smaller X-axis value and a larger Y-axis value.…”

Section: Analysis Of Accuracy and Precisionmentioning

confidence: 99%

PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based Sensor

Melinda

Novandri

Away

2022

KINETIK

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This study compares control systems applied to a dual-axis tetrahedron-based sensor tracker. A tetrahedron-based sensor is a tracking sensor that can detect the coordinates of a light source. This study aims to determine a control system that can control sensors with high accuracy and precision and has a fast-tracking ability. Tests are carried out periodically by providing light at certain coordinates. After carrying out the testing and analysis process, it is concluded that the P controller is a better control system than the other controllers. This controller can control sensors with high accuracy and precision compared to PI, PD, and PID control systems. The P controller can also control the sensor to move towards the light coordinates with a travel time of 1.6 seconds on the X-axis and 3.1 seconds on the Y-axis, with a MAE value of 1.1 on the X-axis and 0.3 on the Y-axis. While the RSME value obtained is 1.33 on the X-axis and 0.55 on the Y-axis.

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“…Research using a PID controller [10] whose results showed the solar tracker accuracy was ±0.5°, and produced 26.9% and 12.8% higher power than a fixed PV system. Researchers [24] used a PID controller, with the results of the study showing an accuracy error percentage rate of 31.26% and a speed of 0.063 m/s. Researchers using the ANFIS algorithm [25] proved that ANFIS can be used adequately to design and implement sun tracking systems.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

Samudra¹,

Rosnelly²,

Situmorang³

2023

ICoSTEC

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With the rapid growth of government agencies that are required to carry out an activity in every aspect that publishes and carries out obligations every year, it is required to be held accountable and also implemented for every device that receives such as fostered villages by utilizing the available APBD funds to maximize the work program that has been designed. so that it can be implemented as much as possible. That way, to get the best from all aspects of every work program implementation, there must be an important point from the annual work program design that is made without exception. Data mining itself can help P2KBP3A in analyzing each work program that is designed before being implemented in the future for the annual work program by looking at various aspects of past work program data and grouping work programs in the form of classification. In designing the work program, this research builds a classification model by adding a sigmoid activation function that uses SVM and perceptron to compare the accuracy results of the algorithm used to get the best work program design. From the various classifications used, the best value for classifying the dataset of the best P2KBP3A work programs can be seen from the average accuracy value of 87.5%, F1 value of 82.2%, the precision value of 80.2%, and recall value of 87.5%.

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Kajian Aspek Kecepatan dan Ketepatan pada Sun Tracker Dua Sumbu Berbasis Sensor Berbentuk Tetrahedron

Cited by 6 publications

References 7 publications

Komparasi Performansi Antara Proportional Integral Derivative Controller (PID) Dan Fuzzy Logic Controller (FLC) Pada Penjejak Cahaya Dengan Tiga Sensor

Komparasi Performansi Antara Proportional Integral Derivative Controller (PID) Dan Fuzzy Logic Controller (FLC) Pada Penjejak Cahaya Dengan Tiga Sensor

PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based Sensor

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

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