Perbandingan Metode Kontrol P, PD, PI, dan PID pada Robot Self-Balancing Beroda Dua
Abstract
The self-balancing robot is unstable and will fall without external control so an excellent control method is needed so that the robot can automatically maintain a balanced position. This research aims to design and control a two-wheeled self-balancing robot to be able to maintain a good balance perpendicular to a flat surface. In this study, tests were conducted by comparing the P, PD, PI, and PID control methods to obtain the best control method to be applied to the two-wheeled self-balancing robot. The PID controller proved to be the best compared to other control methods. The performance of the PID controller carried out in the study is measured by the length of time the robot can stand stable at rest, in motion, and the presence of external disturbances. The system uses an Inertial Measurement Unit (IMU) sensor to reduce the centrifugal force exerted on the robot, detects the tilt angle and angular velocity, and uses an Arduino as the control center and data process. The self-balancing robot that has been designed can balance itself stably on the PID parameters used, namely , and . With these PID parameters, the robot can maintain an upright and balanced position with or without external disturbances and can stabilize for 600 seconds (10 minutes) even longer as long as battery power is still available.
Keywords
Full Text:
PDF (Bahasa Indonesia)References
Alarfaj, M., & Kantor, G. (2010). Centrifugal Force Compensation of a Two-Wheeled Balancing Robot. 11th International Conference on Control, Automation, Robotics, and Vision, 2333–2338.
Bhowmik, S., Science, N., Bhawmick, B. K., & Das, N. K. (2017). DESIGN AND IMPLEMENTATION OF A SELF-BALANCING ROBOT ICMERE2017-PI-294 DESIGN AND IMPLEMENTATION OF A SELF-BALANCING ROBOT. February 2018.
Destiarini, P. W. K., & Kumara, P. W. (2019). Robot Line Follower Berbasis Mikrokontroler Arduino Uno ATMEGA328. Jurnal Informatika, 5(1), 19–25.
Johnson, M. A., & Moradi, M. H. (2005). PID Control: New Identification and Design Methods. Spinger.
Kim, S., Seo, J., & Kwon, S. (n.d.). Development of a Two-Wheeled Mobile Tilting & Balancing (MTB) Robot. 11th International Conference on Control, Automation and Systems, 1–6.
Laksana, A., Setiawan, I., & Sumardi. (2012). Balancing Robot Beroda Dua Menggunakan Metode Kendali Proporsional Integral. Univeristas Diponegoro.
MPU-6000 and MPU-6050 Product Specification Revision 3.3. (n.d.). http://www.invensense.com/mems/gyro/documents/PS-MPU-6000A.pdf
Najmurrokhman, A., Irfansyah, I., & Daelami, A. (2019). Rancang Bangun Auto Balancing Robot Menggunakan Metode Kendali PID Design and Implementation of A Self-Balancing Robot Based on PID Control Method. Telka, 5(1), 15–23.
Suprapto, B. Y., Amri, D., & Dwijayanti, S. (2014). Comparison of control methods PD, PI, and PID on two wheeled self balancing robot. International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 1(August), 67–71. https://doi.org/10.11591/eecsi.1.348
Yong, C., & Kwong, C. F. (n.d.). Wireless Controlled Two Wheel Balancing Robot. International Journal of Network and Mobile Technologies, 2(2), 88–109.
DOI: http://dx.doi.org/10.28926/briliant.v9i1.1829
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Briliant: Jurnal Riset dan Konseptual
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Published by:
Lembaga Penelitian dan Pengabdian Masyarakat
Universitas Nahdlatul Ulama Blitar