Implementasi Sistem Kendali PID pada Gimbal Kamera 2-sumbu dengan Aktuator Motor Brushless
Tri Kuntoro Priyambodo(1*)
(1) Department of Computer Science and Electronics Universitas Gadjah Mada
(*) Corresponding Author
Abstract
Unmanned Aerial Vehicle has been developed for the benefit in various fields. One of them is in the field of aerial photography. Taking pictures using unmanned aircraft, in addition to a good camera, also requires gimbal camera components as camera stability controller. Gimbal camera as stability controller helps the camera to obtain a better image orientation. Gimbal camera serves to reduce vibration and movement that would interfere with the camera when taking pictures caused by the movement of the drone itself. In an effort to get to the maximum camera stability, it is necessary a control systems. This study developed a camera gimbal control system with PID method. The controller is implemented in a microcontroller and uses a brushless motor as the actuator. The brushless motor is chosen because it has several advantages including the high-efficiency, longer lasting and have a good response. In order to facilitate the search for a constant value control, in this study is used Ziegler-Nichols tuning method. The final tuning on roll angle gives constant values Kp = 0:37, Ki = 0:01, and Kd = 0:29 with average response time = 0.8 seconds. While tuning on the pitch angle gives constant values Kp = 0:55, Ki = 0:01, and Kd = 0:29 with average response time = 0.7 seconds.
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[1] Chen, H., Wang, X.M., dan Li, Y., 2009, A survey of autonomous control for UAV, 2009 Int. Conf. Artif. Intell. Comput. Intell. AICI 2009, vol. 2, pp. 267–271.
[2] Gupte, S., Mohandas, P.I.T., dan Conrad, J.M., 2012. A survey of quadrotor unmanned aerial vehicles, Conf. Proc. - IEEE SOUTHEASTCON.
[3] Mardiatno, D., Khakim, N., dan Priyambodo, T.K., 2016, Identification of flood-prone area using remotely sensed data - Case in Tanjung Selor City, North Kalimantan, in Proceedings of the 2015 IEEE International Conference on Aerospace Electronics and Remote Sensing, ICARES 2015.
[4] Shiino, T., Kawada, K., Yamamoto, T., Komichi, M., dan Nishioka, T., 2008, Gimbals control with the camera for aerial photography in RC helicopter, in 2008 International Conference on Control, Automation and Systems, ICCAS 2008, no. 3, pp. 1135–1139.
[5] Wu, Y.D., Geng, L.C., Zhang, Q., dan Chen, S.L., 2010, Self-adaptive fuzzy PID controller for airborne three-axis pan-tilt, in Advances in Intelligent and Soft Computing, vol. 82, pp. 553–559.
[6] Abdo, M.M., Vali, A.R., Toloei, A. R., dan Arvan, M. R., 2014, Stabilization loop of a two axes gimbal system using self-tuning PID type fuzzy controller, ISA Trans., vol. 53, no. 2, pp. 591–602.
[7] Varghese, L., dan Kuncheria, J. T., 2014, Modelling and design of cost efficient novel digital controller for brushless DC motor drive, 2014 Annu. Int. Conf. Emerg. Res. Areas Magn. Mach. Drives, pp. 1–5.
[8] Priyambodo, T.K., Dharmawan, A., Dhewa, O. A., dan Putro, N.A.S., 2016, Optimizing control based on fine tune PID using ant colony logic for vertical moving control of UAV system, in AIP Conference Proceedings, 2016, vol. 1755.
[9] Priyambodo, T.K., Putra, A.E., dan Dharmawan, A., 2015, Optimizing control based on ant colony logic for Quadrotor stabilization, in 2015 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES), vol. 1, pp. 1–4.
[10] Rajesh, R.J., dan Ananda, C.M., 2015, PSO tuned PID controller for controlling camera position in UAV using 2-axis gimbal, in IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015, pp. 128–133.
[11] Priyambodo, T.K., Dharmawan, A., dan Putra, A.E., 2016, PID self tuning control based on Mamdani fuzzy logic control for quadrotor stabilization, AIP Conf. Proc., vol. 1705.
[12] Araghi, L.F., Korayem, M.H., Nikoobin, A., dan Setoudeh, F., 2008, Neural Network Controller Based on PID Controller for Two links- Robotic Manipulator Control.
[13] Lu, H., Liu, H., dan Yang, L., 2013, PID Controller Parameter Estimator Using Ant Colony System, in IEEE International Conference on System Science and Engineering, 2013, pp. 319–324.
[14] Åström, K.J., dan Hägglund, T., 2004, Revisiting the Ziegler-Nichols step response method for PID control, J. Process Control, vol. 14, no. 6, pp. 635–650.
[15] Ogata, K., 2010, Modern Control Engineering, 5th eds., Prentice-Hall.
DOI: https://doi.org/10.22146/ijeis.18238
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