PSO-Nonsingular Fast Terminal Sliding Mode Control for Hexarotor in Turbulent Atmospheric Boundary Layer With Disturbance Observer

被引:0
作者
Ilyas, Muhammad [1 ]
Feng, Zhiguang [1 ]
Ullah, Safeer [2 ]
Liu, Jason J. R. [3 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin, Peoples R China
[2] Quaid Eazam Coll Engn & Technol, Dept Elect Engn, Sahiwal, Pakistan
[3] Univ Macau, Ctr Artificial Intelligence & Robot, Dept Electromech Engn, Macau, Peoples R China
关键词
atmospheric boundary layer; disturbance observer; hexacopter model; non-singular fast terminal sliding mode control; QUADROTOR; UAVS;
D O I
10.1002/rnc.70061
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hexacopter operations in the atmospheric boundary layer (ABL) are affected by gusty winds and turbulence, leading to collision risks or crashes. Stability of the hexacopter UAV in gusty winds is challenging in urban space. In this paper, non-singular fast terminal sliding mode control (NFTSMC) is optimized using particle swarm optimization for altitude and attitude control of a hexacopter UAV in turbulent wind conditions. The nonlinear disturbance observer is designed to estimate and compensate for the external perturbations in ABL, such as wind gusts, using the Dryden turbulence model. The presented control law demonstrates superior trajectory tracking of the translational axis (x,y,z$$ x,y,z $$) and rotational components (phi$$ \phi $$, theta$$ \theta $$, psi$$ \psi $$) while ensuring singularity-free convergence, reduced chattering, and smooth actuation in turbulent wind conditions. Lyapunov-based stability analysis proves global asymptotic convergence, guaranteeing robustness against unmodeled dynamics and urban wind disturbances.
引用
收藏
页数:15
相关论文
共 61 条
[1]   Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking [J].
Abdulkareem, Ademola ;
Oguntosin, Victoria ;
Popoola, Olawale M. ;
Idowu, Ademola A. .
JOURNAL OF ENGINEERING, 2022, 2022
[2]   Sliding Mode Control for Hexacopter Autopilot design [J].
Abrougui, Helmi ;
Nejim, Samir ;
Charrada, Anis ;
Dallagi, Habib .
PROCEEDINGS OF THE 2022 5TH INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES IC_ASET'2022), 2022, :445-449
[3]   Adaptive Backstepping Sliding Mode Control of Coaxial Octorotora Unmanned Aerial Vehicle [J].
Ali, Rashid ;
Peng Yunfeng ;
Iqbal, M. Touseef ;
Ul Amin, Rooh ;
Zahid, M. Omer ;
Khan, Omair Irfan .
IEEE ACCESS, 2019, 7 :27526-27534
[4]   Multi-objective optimal design of a fuzzy adaptive robust fractional-order PID controller for a nonlinear unmanned flying system [J].
Ansarian, A. ;
Mahmoodabadi, M. J. .
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 141
[5]   COMPARISON OF GA AND PSO APPROACHES FOR THE DIRECT AND LQR TUNING OF A MULTIROTOR PD CONTROLLER [J].
Artale, Valeria ;
Milazzo, Cristina L. R. ;
Orlando, Calogero ;
Ricciardello, Angela .
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2017, 13 (04) :2067-2091
[6]   Optimal Nonlinear backstepping controller design of a Quadrotor-Slung load system using particle Swarm Optimization [J].
Baraean, Abdullah ;
Hamanah, Waleed M. ;
Bawazir, Ahmed ;
Baraean, Saleh ;
Abido, Mohammad A. .
ALEXANDRIA ENGINEERING JOURNAL, 2023, 68 :551-560
[7]   Enhanced backstepping control for an unconventional quadrotor under external disturbances [J].
Belmouhoub, A. ;
Medjmadj, S. ;
Bouzid, Y. ;
Derrouaoui, S. H. ;
Guiatni, M. .
AERONAUTICAL JOURNAL, 2023, 127 (1310) :627-650
[8]   Optimal Stabilization of A Quadrotor UAV by a Constrained Fuzzy Control and PSO [J].
Boubertakh, Hamid .
2016 WORKSHOP ON CONTEMPORARY MATERIALS AND TECHNOLOGIES IN THE AVIATION INDUSTRY (CMTAI2016), 2017, 99
[9]   A trajectory tracking control law for a quadrotor with slung load [J].
Cabecinhas, David ;
Cunha, Rita ;
Silvestre, Carlos .
AUTOMATICA, 2019, 106 :384-389
[10]   Disturbance-Observer-Based Control and Related Methods-An Overview [J].
Chen, Wen-Hua ;
Yang, Jun ;
Guo, Lei ;
Li, Shihua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1083-1095