Sliding Mode Control-Based Autonomous Control of a Tri-rotor Unmanned Aerial Vehicle

A nonlinear control technique for autonomous control of a tri-rotor unmanned aerial vehicle is presented in this paper. First, a comprehensive mathematical model is developed using the Newton–Euler approach for a tri-rotor, which is found to be highly nonlinear and coupled. Then, the equivalent input affine model is extracted by applying a suitable transformation. Finally, the sliding mode control for trajectory tracking is chosen which is immune to matched external disturbances, parametric uncertainties, and modeling errors. The proposed controller performance has been verified for appropriate inputs under wind disturbances using MATLAB, and the simulation results are presented.

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Adaptive integral-type terminal sliding mode control for unmanned aerial vehicle under model uncertainties and external disturbances

IEEE Access ◽

10.1109/access.2021.3070400 ◽

2021 ◽

pp. 1-1

Author(s):

Omid Mofid ◽

Saleh Mobayen ◽

Afef Fekih

Keyword(s):

Sliding Mode Control ◽

Unmanned Aerial Vehicle ◽

Sliding Mode ◽

Terminal Sliding Mode Control ◽

Integral Type ◽

Model Uncertainties ◽

External Disturbances ◽

Terminal Sliding Mode ◽

Mode Control ◽

Aerial Vehicle

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Passive and active nonlinear fault-tolerant control of a quadrotor unmanned aerial vehicle based on the sliding mode control technique

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651812455293 ◽

2012 ◽

Vol 227 (1) ◽

pp. 12-23 ◽

Cited By ~ 35

Author(s):

Tong Li ◽

Youmin Zhang ◽

Brandon W Gordon

Keyword(s):

Sliding Mode Control ◽

Unmanned Aerial Vehicle ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Control Technique ◽

Mode Control ◽

Aerial Vehicle

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A Novel Adaptive Super-Twisting Sliding Mode Control Scheme with Time-Delay Estimation for a Single Ducted-Fan Unmanned Aerial Vehicle

Actuators ◽

10.3390/act10030054 ◽

2021 ◽

Vol 10 (3) ◽

pp. 54

Author(s):

Minh-Thien Tran ◽

Dong-Hun Lee ◽

Soumayya Chakir ◽

Young-Bok Kim

Keyword(s):

Time Delay ◽

Sliding Mode Control ◽

Unmanned Aerial Vehicle ◽

Sliding Mode ◽

Time Delay Estimation ◽

Delay Estimation ◽

Mode Control ◽

Ducted Fan ◽

Control Scheme ◽

Aerial Vehicle

This article proposes a novel adaptive super-twisting sliding mode control scheme with a time-delay estimation technique (ASTSMC-TDE) to control the yaw angle of a single ducted-fan unmanned aerial vehicle system. Such systems are highly nonlinear; hence, the proposed control scheme is a combination of several control schemes; super-twisting sliding mode, TDE technique to estimate the nonlinear factors of the system, and an adaptive sliding mode. The tracking error of the ASTSMC-TDE is guaranteed to be uniformly ultimately bounded using Lyapunov stability theory. Moreover, to enhance the versatility and the practical feasibility of the proposed control scheme, a comparison study between the proposed controller and a proportional-integral-derivative controller (PID) is conducted. The comparison is achieved through two different scenarios: a normal mode and an abnormal mode. Simulation and experimental tests are carried out to provide an in-depth investigation of the performance of the proposed ASTSMC-TDE control system.

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Online Adaptive Error Compensation SVM-Based Sliding Mode Control of an Unmanned Aerial Vehicle

International Journal of Aerospace Engineering ◽

10.1155/2016/8407491 ◽

2016 ◽

Vol 2016 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Kaijia Xue ◽

Congqing Wang ◽

Zhiyu Li ◽

Hanxin Chen

Keyword(s):

Sliding Mode Control ◽

Unmanned Aerial Vehicle ◽

Error Compensation ◽

Sliding Mode ◽

Control Process ◽

Support Vector ◽

Control Effect ◽

Unknown Parameters ◽

Mode Control ◽

Aerial Vehicle

Unmanned Aerial Vehicle (UAV) is a nonlinear dynamic system with uncertainties and noises. Therefore, an appropriate control system has an obligation to ensure the stabilization and navigation of UAV. This paper mainly discusses the control problem of quad-rotor UAV system, which is influenced by unknown parameters and noises. Besides, a sliding mode control based on online adaptive error compensation support vector machine (SVM) is proposed for stabilizing quad-rotor UAV system. Sliding mode controller is established through analyzing quad-rotor dynamics model in which the unknown parameters are computed by offline SVM. During this process, the online adaptive error compensation SVM method is applied in this paper. As modeling errors and noises both exist in the process of flight, the offline SVM one-time mode cannot predict the uncertainties and noises accurately. The control law is adjusted in real-time by introducing new training sample data to online adaptive SVM in the control process, so that the stability and robustness of flight are ensured. It can be demonstrated through the simulation experiments that the UAV that joined online adaptive SVM can track the changing path faster according to its dynamic model. Consequently, the proposed method that is proved has the better control effect in the UAV system.

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