Trajectory Tracking Control of a Quadrotor Aerial Vehicle in the Presence of Input Constraints

被引：0
作者：
Trong-Toan Tran
Shuzhi Sam
Wei He
Pham Luu-Trung-Duong
Nguyen-Vu Truong
机构：
[1] VAST,Graduate University of Science and Technology (GUST)
[2] National University of Singapore,Department of Electrical and Computer Engineering, and the Social Robotics Lab, Interactive Digital Media Institute (IDMI)
[3] University of Science and Technology Beijing,School of Automation and Electrical Engineering
[4] Singapore University of Technology and Design,Engineering Product Development (EPD) Pillar
[5] Vietnam Academy of Science and Technology,Institute of Applied Mechanics and Informatics
[6] VAST,Institute of Applied Mechanics and Informatics (IAMI)
来源：
International Journal of Control, Automation and Systems | 2018年 / 16卷
关键词：
Bounded control; input saturation; quadrotor aerial vehicle; trajectory tracking;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we address the control problem of a Quadrotor Aerial Vehicle (QAV) in the presence of the input constraints. For this purpose, a separation principle is applied in the control design. The QAV model is decoupled and constructed as a cascaded structure to handle its underactuated property. By imposing the constraints on the orientation angles, we show that the QAV will be never overturned. Then, a combination of the backstepping method, barrier Lyapunov and saturation functions is used in the control design for each subsystem to deal with both input and output constraints. Our design renders the cascaded system of the QAV into the form in which an Input-to-State Stable (ISS) subsystem is driven by an asymptotic subsystem, and hence the stability of the overall cascaded system of the QAV is ensured. In addition, the tracking errors are guaranteed to converge to the origin. Simulation results are provided to illustrate the effectiveness of the proposed control.
引用
收藏
页码：2966 / 2976
页数：10
相关论文
共 87 条
[1]  
Tee K. P.(2008)Adaptive neural network control for helicopters in vertical flight IEEE Transactions on Control Systems Technology 16 753-762
[2]  
Ge S. S.(2009)Approximationbased control of uncertain helicopter dynamics IET Control Theory & Applications 3 941-956
[3]  
Tay F. E. H.(2004)Real-time stabilization and tracking of a four-rotor mini rotorcraft IEEE Transactions on Control Systems Technology 12 510-516
[4]  
Ge S. S.(2010)An integral predictive/ nonlinear H¥ control structure for a quadrotor helicopter Automatica 46 29-39
[5]  
Ren B.(2015)Robust global trajectory tracking for a class of underactuated vehicles Automatica 58 90-98
[6]  
Tee K. P.(2015)Closed-form nonlinear tracking controllers for quadrotors with model and input generator uncertainties Automatica 54 317-324
[7]  
Lee T. H.(2015)Mechanics, control and internal dynamics of quadrotor tool operation Automatica 61 289-301
[8]  
Castillo P.(2016)A global tracking controller for underactuated aerial vehicles: Design, analysis, and experimental tests on quadrotor IEEE/ASME Transactions on Mechatronics 21 2499-2511
[9]  
Dzul A.(2007)Trajectorytracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty IEEE Transaction on Automatic Control 52 1362-1379
[10]  
Lozano R.(2009)Backstepping approach for controlling a quadrotor using lagrange form dynamics Journal of Intelligent and Robotic Systems 56 127-151
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