Adaptive super-twisting sliding mode control of 6-DOF nonlinear and uncertain air vehicle

被引:37
作者
Babaei, Ali-Reza [1 ]
Malekzadeh, Maryam [2 ]
Madhkhan, Davood [1 ]
机构
[1] Malek Ashtar Univ Technol, Dept Mech Engn, Shahin Shahr, Iran
[2] Univ Isfahan, Dept Mech Engn, Esfahan, Iran
关键词
6DOF nonlinear model; Decoupled flight dynamics; Adaptive sliding mode control; Adaptive super-twisting algorithm; Uncertainties; Separation mechanism; UNMANNED AERIAL VEHICLE; OBSERVER; FLIGHT; STAGE;
D O I
10.1016/j.ast.2018.09.013
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, to control the six degree-of-freedom non-linear unmanned aerial vehicle, two strategies are implemented using adaptive super-twisting sliding mode control approach. The first one is a single-channel controller that is designed on the basis of decoupled equations of motion. The other one is a three-channel controller that is designed based on the coupling equations of motion along with an adaptive super-twisting observer. The stability of the closed loop system of the controller-observer is proven. The comparison between the single-channel controller and the three-channel could lead us to select between a little lower efficiency and less complexity versus efficiency and more complexity. To examine the performance and robustness of these two control loops, their performances are analyzed in the presence of combined uncertainties, including aerodynamics, mass, inertial moment, sensor, and actuator disturbances and parametric uncertainties in the stage separation phase. The explosive bolt separation mechanism is assumed to perform the stage separation, and its forces, moments and disturbances are modeled as needed. Finally, the responses are compared with the classic PID controller. (C) 2018 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:361 / 374
页数:14
相关论文
共 26 条
[1]  
Anwar J, 2017, INT BHURBAN C APPL S, P244, DOI 10.1109/IBCAST.2017.7868060
[2]  
Balajiwale S., 2017, AIAA GUID NAV CONTR
[3]   Extended observer based on adaptive second order sliding mode control for a fixed wing UAV [J].
Castaneda, Herman ;
Salas-Pena, Oscar S. ;
de Leon-Morales, Jesus .
ISA TRANSACTIONS, 2017, 66 :226-232
[4]   Robust flight control for a fixed-wing unmanned aerial vehicle using adaptive super-twisting approach [J].
Castaneda, Herman ;
Salas-Pena, Oscar S. ;
de Leon-Morales, Jesus .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2014, 228 (12) :2310-2322
[5]   Implementation of Super-Twisting Control: Super-Twisting and Higher Order Sliding-Mode Observer-Based Approaches [J].
Chalanga, Asif ;
Kamal, Shyam ;
Fridman, Leonid M. ;
Bandyopadhyay, Bijnan ;
Moreno, Jaime A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (06) :3677-3685
[6]   Second-order sliding-mode observer for mechanical systems [J].
Davila, J ;
Fridman, L ;
Levant, A .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2005, 50 (11) :1785-1789
[7]   Adaptive-gain multivariable super-twisting sliding mode control for reentry RLV with torque perturbation [J].
Dong, Qi ;
Zong, Qun ;
Tian, Bailing ;
Wang, Fang .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (04) :620-638
[8]   Real-time altitude control for a quadrotor helicopter using a super-twisting controller based on high-order sliding mode observer [J].
Gonzalez-Hernandez, Ivan ;
Munoz Palacios, Filiberto ;
Salazar Cruz, Sergio ;
Espinoza Quesada, Eduardo Steed ;
Lozano Leal, Rogelio .
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 14 (01)
[9]  
Guo Z., 2016, T I MEAS CONTROL, V40
[10]   Adaptive attitude tracking control for hypersonic reentry vehicles via sliding mode-based coupling effect-triggered approach [J].
Guo, Zongyi ;
Guo, Jianguo ;
Zhou, Jun .
AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 78 :228-240