TY - GEN
T1 - Autonomous Quadcopter Trajectory Tracking and Stabilization Using Control System Based on Sliding Mode Control and Kalman Filter
AU - Agustina, Nilla Perdana
AU - Darwito, Purwadi Agus
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control system is needed to support the performance of the quadcopter in carrying out the mission that has been given. The designed control system begins with the creation of a system model equation and is implemented in a real quadcopter simulation. The resulting response in terms of the results of the resulting control signal is stable, meets the trajectory as expected, and can produce a real quadcopter simulation taking off vertically and flying stably. Even though there was an unstable response for about 15 to 20 seconds at the beginning of the resulting response, after that the system showed stability. Tracking the resulting trajectory in accordance with the desired trajectory. Real quadcopter simulation results show that the takeoff phase can be carried out vertically and that the resulting trajectory stability can be stable during takeoff and flight. The height of the quadcopter has reached 100%, namely with a height of 1.5 meters as expected, and the average error value obtained at the x position is 2.93e^-07, the y position is 2.96e^-07, and the z position is 1.80e^-03. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed.
AB - In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control system is needed to support the performance of the quadcopter in carrying out the mission that has been given. The designed control system begins with the creation of a system model equation and is implemented in a real quadcopter simulation. The resulting response in terms of the results of the resulting control signal is stable, meets the trajectory as expected, and can produce a real quadcopter simulation taking off vertically and flying stably. Even though there was an unstable response for about 15 to 20 seconds at the beginning of the resulting response, after that the system showed stability. Tracking the resulting trajectory in accordance with the desired trajectory. Real quadcopter simulation results show that the takeoff phase can be carried out vertically and that the resulting trajectory stability can be stable during takeoff and flight. The height of the quadcopter has reached 100%, namely with a height of 1.5 meters as expected, and the average error value obtained at the x position is 2.93e^-07, the y position is 2.96e^-07, and the z position is 1.80e^-03. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed.
KW - Autonomous Quadcopter
KW - Chattering
KW - Kalman Filter
KW - Sliding Mode Control (SMC)
KW - Vertical Take-off
UR - http://www.scopus.com/inward/record.url?scp=85171168188&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221176
DO - 10.1109/ISITIA59021.2023.10221176
M3 - Conference contribution
AN - SCOPUS:85171168188
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 489
EP - 493
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -