contributor author | Zhu, Bing | |
contributor author | Chen, Mou | |
contributor author | Li, Tao | |
date accessioned | 2022-02-04T22:14:29Z | |
date available | 2022-02-04T22:14:29Z | |
date copyright | 7/23/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0022-0434 | |
identifier other | md_143_1_011708.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4275164 | |
description abstract | In this paper, a trajectory tracking control scheme for a quadrotor unmanned aerial vehicle (UAV) under unknown external disturbance and input saturation is developed. This scheme includes the position control system and attitude control one, in which the attitude control system is further divided into the fast loop for angular velocity and the slow one for attitude angle based on time-scale separation principle. Then, an input constrained dynamic surface control scheme combined with a disturbance observer is designed to achieve the total thrust, desired roll, and pitch angle in the position control system. For the coupled attitude system, a dynamic surface control scheme together with generalized model predictive controller (GMPC) is proposed to tackle both the fast loop system and the slow one. Since the unknown external disturbance and input saturation are considered, a sliding mode disturbance observer (SMDO) is further designed to achieve the strong robustness. Finally, some simulation results are presented to show robustness and effectiveness of our proposed tracking scheme. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Robust Constrained Trajectory Tracking Control for Quadrotor Unmanned Aerial Vehicle Based on Disturbance Observers | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 11 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4047692 | |
journal fristpage | 0111002-1 | |
journal lastpage | 0111002-13 | |
page | 13 | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2020:;volume( 142 ):;issue: 011 | |
contenttype | Fulltext | |