PID Controller Application in a Gimbal Construction for Camera Stabilization and Tracking
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. ed. / Andrzej Kot. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - PID Controller Application in a Gimbal Construction for Camera Stabilization and Tracking
AU - de Paula, Pierre Alvim
AU - dos Santos, Murillo Ferreira
AU - Mercorelli, Paolo
AU - Schettino, Vinícius Barbosa
N1 - Conference code: 25
PY - 2024/5/22
Y1 - 2024/5/22
N2 - This paper details the development of a gimbal prototype employing Proportional, Integral and Derivative (PID) controllers for camera stabilization and orientation control. The system, featuring real-time image processing with a Raspberry Pi and motor control via an ESP-32 microcontroller, successfully stabilizes and orients a small camera. Integration of OpenCV facilitates application tasks like face detection and tracking. The study compares the efficacy of PD and PID controllers, fine-tuned through the ultimate sensitivity method. Although the PID controller demonstrates promising results in camera control, this research primarily establishes foundational knowledge, paving the way for future investigations into the integration of such systems into drones or other vehicles. Supplementary materials, including performance demonstrations, accompany this paper.
AB - This paper details the development of a gimbal prototype employing Proportional, Integral and Derivative (PID) controllers for camera stabilization and orientation control. The system, featuring real-time image processing with a Raspberry Pi and motor control via an ESP-32 microcontroller, successfully stabilizes and orients a small camera. Integration of OpenCV facilitates application tasks like face detection and tracking. The study compares the efficacy of PD and PID controllers, fine-tuned through the ultimate sensitivity method. Although the PID controller demonstrates promising results in camera control, this research primarily establishes foundational knowledge, paving the way for future investigations into the integration of such systems into drones or other vehicles. Supplementary materials, including performance demonstrations, accompany this paper.
KW - Camera Stabilization
KW - Gimbal
KW - PID controller
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85198514980&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/25e0aaf9-ed38-3401-b16e-d9049cab119f/
U2 - 10.1109/ICCC62069.2024.10569310
DO - 10.1109/ICCC62069.2024.10569310
M3 - Article in conference proceedings
AN - SCOPUS:85198514980
SN - 979-8-3503-5071-5
T3 - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
BT - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
A2 - Kot, Andrzej
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Carpathian Control Conference - ICCC 2024
Y2 - 22 May 2024 through 24 May 2024
ER -