3 research outputs found

    PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based Sensor

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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

    Implementasi Sistem Kendali Proposional Integral Derivatif (PID) pada Porototype Pendeteksi Brightness Cahaya Ruangan

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    PID control is used in the tool to determine the accuracy of a combined system with the feedback characteristics of the system, based on the error values ​​obtained from the Kp, Ki, and Kd values ​​that respond to the dimmer. The dimmer functions to adjust the brightness of the lamp, then it will be controlled by Arduino UNO. This experiment is devoted to testing P, PD, PI, and PID control as practicum learning modules in the electrical engineering study program, at the Sumbawa University of Technology. This controlled trial obtained 200 recorded data with the same set point value of 2 and in a very fast time of 200 seconds. P control with increased or decreased Kp value resulted in 10% system stability, PI control with increased Kp and Ki values ​​resulted in 20% system stability whereas when Kp value was increased and Ki decreased the system was unstable. PD control does not get stable system performance at all. PID control with increased Kp and Ki values, and lowered Kd values ​​resulted in 75% successful system stability, whereas when Kp and Kd were increased, Ki values ​​were lowered resulting in 50% system stability. So in this study, the PID control would be very suitable to be used as a control that stabilizes system performance.Kendali PID digunakan pada alat untuk menentukan akurasi sistem gabungan dengan karakteristik umpan balik sistem, berdasarkan nilai error yang didapat dari nilai Kp, Ki, dan Kd yang merespon dimmer. Dimmer berfungsi untuk mengatur kecerahan lampu, kemudian akan dikontrol oleh Arduino UNO. Eksperimen ini dikhususkan untuk menguji kontrol P, PD, PI, dan PID sebagai modul pembelajaran praktikum di program studi teknik elektro, Universitas Teknologi Sumbawa. Uji coba terkontrol ini mendapatkan 200 data yang tercatat dengan nilai set point yang sama yaitu 2 dan dalam waktu sangat cepat yaitu 200 detik. Kontrol P dengan kenaikan atau penurunan nilai Kp menghasilkan stabilitas sistem 10%, kontrol PI dengan peningkatan nilai Kp dan Ki menghasilkan stabilitas sistem 20% sedangkan ketika nilai Kp dinaikkan dan Ki diturunkan sistem tidak stabil. Kontrol PD sama sekali tidak mendapatkan kinerja sistem yang stabil. Kontrol PID dengan menaikkan nilai Kp dan Ki, dan menurunkan nilai Kd menghasilkan stabilitas sistem yang berhasil 75%, sedangkan ketika Kp dan Kd dinaikkan, nilai Ki diturunkan menghasilkan stabilitas sistem 50%. Sehingga pada penelitian ini kontrol PID akan sangat cocok digunakan sebagai kontrol yang menstabilkan kinerja sistem

    FDCCII-based P, PI, PD and PID controllers

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