TY - GEN
T1 - Reference Tracking of Quadrotor Using Modified Nonlinear Model Predictive Control Based on Nonlinear Disturbance Observer
AU - Subchan, S.
AU - Amalia, Leila Rizky
AU - Asfihani, Tahiyatul
AU - Purnawan, Heri
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - This paper proposes a modified nonlinear model predictive control based on nonlinear disturbance observer (NDO-NMPC) for reference tracking of a quadrotor. The quadrotor model is nonlinear with a multi-input-multi-output (MIMO) system type. This study’s discussed problem is requiring a quadrotor to track the given trajectories. The disturbances considered in the system are constant and step disturbances. The unknown disturbances are estimated using a nonlinear disturbance observer. Furthermore, the disturbance estimations are added to the system’s prediction of NMPC. Based on the simulation results, the NDO can provide good estimation results for estimating the system disturbances. According to the performed numerical simulations, the optimal inputs obtained satisfy the limitations of the defined constraints. In addition, the proposed NDO-NMPC can overcome external disturbances, so the outputs of NDO-NMPC are appropriate for the expected results.
AB - This paper proposes a modified nonlinear model predictive control based on nonlinear disturbance observer (NDO-NMPC) for reference tracking of a quadrotor. The quadrotor model is nonlinear with a multi-input-multi-output (MIMO) system type. This study’s discussed problem is requiring a quadrotor to track the given trajectories. The disturbances considered in the system are constant and step disturbances. The unknown disturbances are estimated using a nonlinear disturbance observer. Furthermore, the disturbance estimations are added to the system’s prediction of NMPC. Based on the simulation results, the NDO can provide good estimation results for estimating the system disturbances. According to the performed numerical simulations, the optimal inputs obtained satisfy the limitations of the defined constraints. In addition, the proposed NDO-NMPC can overcome external disturbances, so the outputs of NDO-NMPC are appropriate for the expected results.
KW - Nonlinear disturbance observer
KW - Nonlinear model predictive control
KW - Nonlinear system
KW - Quadrotor
UR - http://www.scopus.com/inward/record.url?scp=85200690074&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-2136-8_8
DO - 10.1007/978-981-97-2136-8_8
M3 - Conference contribution
AN - SCOPUS:85200690074
SN - 9789819721351
T3 - Springer Proceedings in Mathematics and Statistics
SP - 87
EP - 104
BT - Applied and Computational Mathematics - ICoMPAC 2023
A2 - Adzkiya, Dieky
A2 - Fahim, Kistosil
PB - Springer
T2 - 8th International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2023
Y2 - 30 September 2023 through 30 September 2023
ER -