Adaptive control of a UAV with continuously time varying center of gravity

被引:1
|
作者
Barawkar, Shraddha [1 ]
Kumar, Manish [1 ]
Bolender, Michael [2 ]
机构
[1] Univ Cincinnati, 2600 Clifton Ave, Cincinnati, OH 45221 USA
[2] Air Force Res Lab, Dayton, OH USA
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 37期
关键词
Adaptive control; time varying CG; UAV; feedback linearization; waypoint navigation; trajectory tracking; TRACKING; SYSTEM; DESIGN;
D O I
10.1016/jifacol.2022.11.196
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we apply the concept of adaptive control to an Unmanned Aerial Vehicle (UAV) with time varying center of gravity (CG). Continuous change of payload mass and CG's location happens in several real-world applications, e.g., transportation of a package which has moving parts in it or a UAV spraying disinfectant or pesticide. Control of UAVs with varying CG location is challenging since the changed dynamics require adaptation in controller parameters for stable and effective flight. The research carried out in literature have focused on solution for an offset (but fixed) CG or for CG varying at certain time instants. However, for scenarios in which the CG continuously varies with time, existing schemes are ineffective. We first derive the dynamics of the entire system with time varying CG. Following this, the proposed feedback linearization and adaptive control strategies are presented. Extensive results from numerical simulation for trajectory tracking and waypoint navigation are provided for constant CG versus time varying CG cases. The results demonstrate the effectiveness of the proposed work over existing work on constant CG case. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
引用
收藏
页码:270 / 275
页数:6
相关论文
共 50 条
  • [31] Time-varying formation control of UAV swarm systems with switching topologies
    Zhou S.
    Qi Y.
    Zhang L.
    Yan S.
    Kang Y.
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2017, 38 (04):
  • [32] Tracking Control of a Multirotor UAV in a Network Environment with Time-Varying Delay
    Jang, Dohyun
    Yoo, Jaehyun
    Kim, H. Jin
    [J]. 2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2018, : 612 - 617
  • [33] Passive impedance control with time-varying impedance center
    Kishi, Y
    Luo, ZW
    Asano, F
    Hosoe, S
    [J]. 2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS, 2003, : 1207 - 1212
  • [34] Fuzzy Adaptive Control for a UAV
    Jose F. Gomez
    Mo Jamshidi
    [J]. Journal of Intelligent & Robotic Systems, 2011, 62 : 271 - 293
  • [35] Fuzzy Adaptive Control for a UAV
    Gomez, Jose F.
    Jamshidi, Mo
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2011, 62 (02) : 271 - 293
  • [36] An adaptive trajectory control for UAV using a real-time architecture
    Artale, Valeria
    Collotta, Mario
    Milazzo, Cristina
    Pau, Giovanni
    Ricciardello, Angela
    [J]. 2014 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2014, : 32 - 42
  • [37] Finite-Time Adaptive Fuzzy Quantized Control for a Quadrotor UAV
    Yang, Wei
    Cui, Guozeng
    Yu, Jinpeng
    Tao, Chongben
    Li, Ze
    [J]. IEEE ACCESS, 2020, 8 : 179363 - 179372
  • [38] Robust adaptive control of UAV
    Zhang, Guobing
    Tong, Guan
    Chen, Pengyun
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5181 - 5184
  • [39] Adaptive Multivariable Finite-time Attitude Control for Quadrotor UAV
    Tian, Bailing
    Ma, Yuxin
    Liu, Lihong
    Zong, Qun
    [J]. 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 9792 - 9796
  • [40] Model reference adaptive control for time varying hydraulic systems
    Liu, Dong
    Ma, Jie
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 2032 - +