@inproceedings{cb698d6a01654ff9ad0de7b363400cd1,
title = "Disturbance observer model predictive control with application to UAV pitch angle control",
abstract = "This paper presents a disturbance observer model predictive control (DO-MPC) for the UAV pitch angle control with the presence of disturbances. The linear disturbance observer is designed to estimate the unknown disturbances in a system. Then, the MPC optimization problem is formulated into quadratic programming (QP) by adding the disturbance estimations into the system prediction subject to the input constraints. Furthermore, the algorithm of DO-MPC scheme for UAV pitch angle control is presented. According to the simulations, the DO method can estimate the actual disturbances in terms of step and sinusoidal disturbances well. The simulation results show that with the same controller parameters, the DO-MPC has the better performance compared to MPC in handling the disturbances.",
author = "Heri Purnawan and Tahiyatul Asfihani and S. Subchan",
note = "Publisher Copyright: {\textcopyright} 2022 Author(s).; 7th International Conference on Mathematics: Pure, Applied and Computation: , ICoMPAC 2021 ; Conference date: 02-10-2021",
year = "2022",
month = dec,
day = "19",
doi = "10.1063/5.0116990",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Mufid, {Muhammad Syifa�ul} and Dieky Adzkiya",
booktitle = "7th International Conference on Mathematics - Pure, Applied and Computation",
}