Chattering Free Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle

2017 ◽  
pp. 61-79
Author(s):  
Nour Ben Ammar ◽  
Soufiene Bouallègue ◽  
Joseph Haggège ◽  
Sundarapandian Vaidyanathan
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Controller Design ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Chattering Free ◽  
Aerial Vehicle

scholarly journals A Fractional-Order Sliding Mode Controller Design for Trajectory Tracking Control of An Unmanned Aerial Vehicle

2020 ◽  
Vol 26 (4) ◽  
pp. 4-10
Author(s):  
Abdullah Basci ◽  
Adnan Derdiyok ◽  
Kaan Can ◽  
Kamil Orman
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Fractional Order ◽  
Trajectory Tracking ◽  
Controller Design ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Nonlinear Controller ◽  
Trajectory Tracking Control ◽  
Parameter Variations ◽  
Aerial Vehicle

In this paper, a fractional-order sliding mode controller (FOSMC) is designed and applied to a four rotor unmanned aerial vehicle (Quadrotor) to perform trajectory tracking for different time-varying references. Because quadrotor’s nonlinear system dynamics are effected by external disturbances and parameter variations easily, the FOSMC is used as a nonlinear controller and utilized its disturbance rejection characteristics to keep quadrotor on desired trajectory as well as overcome parameter variations. In order to indicate the priority of the FOSMC, an integer-order SMC (IOSMC) is also applied to quadrotor for the same references. The experimental results show that FOSMC is better than IOSMC in terms of error elimination and is good at dealing with parameter variations occurred while tracking the desired trajectory

An innovative fuzzy backstepping sliding mode controller for a Tri-Rotor Unmanned Aerial Vehicle

2017 ◽  
Vol 23 (12) ◽  
pp. 5621-5630 ◽  
Author(s):  
Shiqian Wang ◽  
Jingjuan Zhang ◽  
Qian Zhang ◽  
Chaoying Pei
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Aerial Vehicle

scholarly journals Modeling and Robust Trajectory Tracking Control for a Novel Six-Rotor Unmanned Aerial Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Chengshun Yang ◽  
Zhong Yang ◽  
Xiaoning Huang ◽  
Shaobin Li ◽  
Qiang Zhang
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Trajectory Tracking Control ◽  
Sliding Mode Disturbance Observer ◽  
Aerial Vehicle ◽  
Differential Expansion ◽  
Derivatives Of

Modeling and trajectory tracking control of a novel six-rotor unmanned aerial vehicle (UAV) is concerned to solve problems such as smaller payload capacity and lack of both hardware redundancy and anticrosswind capability for quad-rotor. The mathematical modeling for the six-rotor UAV is developed on the basis of the Newton-Euler formalism, and a second-order sliding-mode disturbance observer (SOSMDO) is proposed to reconstruct the disturbances of the rotational dynamics. In consideration of the under-actuated and strong coupling properties of the six-rotor UAV, a nested double loops trajectory tracking control strategy is adopted. In the outer loop, a position error PID controller is designed, of which the task is to compare the desired trajectory with real position of the six-rotor UAV and export the desired attitude angles to the inner loop. In the inner loop, a rapid-convergent nonlinear differentiator (RCND) is proposed to calculate the derivatives of the virtual control signal, instead of using the analytical differentiation, to avoid “differential expansion” in the procedure of the attitude controller design. Finally, the validity and effectiveness of the proposed technique are demonstrated by the simulation results.

Anti-disturbance attitude control for quadrotor unmanned aerial vehicle manipulator via fuzzy adaptive sigmoid generalized super-twisting sliding mode observer

2021 ◽  
pp. 107754632198949
Author(s):  
Ran Jiao ◽  
Wusheng Chou ◽  
Yongfeng Rong ◽  
Mingjie Dong
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Attitude Control ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Sliding Mode Controller ◽  
Sigmoid Function ◽  
Tracking Differentiator ◽  
Aerial Vehicle ◽  
Signum Function ◽  
Twisting Algorithm

During the flight of quadrotor unmanned aerial vehicle manipulator, external wind and model uncertainties will significantly affect the accuracy and stability of the controller. This study investigates the problem of high-precision attitude control for the quadrotor manipulator that is equipped with a 2-DOF robotic arm in presence of several disturbances based on a new sliding mode observer and a corresponding sliding mode controller. As for the proposed sliding mode observer, to reduce its estimation chattering phenomenon, a sigmoid function is exploited to replace the discontinuous signum function. Moreover, to adapt to the estimation of disturbances with different upper bounds of the first derivative, a fuzzy logic system algorithm is used to adaptively update the observer gains and slope parameters of the sigmoid function. Furthermore, a generalized super-twisting algorithm is incorporated into the proposed sliding mode observer. Similarly, the sliding mode controller is constructed by using the generalized super-twisting algorithm and a sigmoid function in addition to the sliding mode observer-based feedforward disturbance compensation. In addition, to further relieve the influence of system sensor noise, a tracking differentiator is exploited to incorporate with both proposed sliding mode observer and sliding mode controller. Finally, to demonstrate the effectiveness of the proposed method, several simulations and experiments on the quadrotor unmanned aerial vehicle manipulator system are conducted under varying external disturbances.

Binary observers based control for quadrotor unmanned aerial vehicle with disturbances and measurement delay

2017 ◽  
Vol 232 (15) ◽  
pp. 2807-2820
Author(s):  
Juqian Zhang ◽  
Laihong Zhou ◽  
Cunxu Li ◽  
Bangchun Wen
Keyword(s):  
Feedback Control ◽  
Unmanned Aerial Vehicle ◽  
Disturbance Observer ◽  
Closed Loop ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Sliding Mode Controller ◽  
Control Loop ◽  
Measurement Delay ◽  
Aerial Vehicle

This paper presents a binary observers based linearization feedback sliding mode controller for quadrotor subjected to disturbances and measurement delay. The quadrotor unmanned aerial vehicle is divided into two subsystems, i.e. rotational subsystem and translational subsystem. Disturbance observer based controller is proposed for the former sensitive to disturbances, and binary observers based one for the latter subjected to both disturbances and measurement delay. Binary observers, consisting of disturbance observer and delayed output observer with their interactions being considered, promise exponential convergences of estimations on disturbance and output to their real values, which are compensated in the feedback control loop. The stabilities of the closed-loop subsystems are demonstrated based on Lyapunov theory. In the presence of both disturbances and measurement delay, simulations are carried out to corroborate the effectiveness and robustness of the proposed controller with superior control inputs.

scholarly journals Adaptive Sliding Mode Controller Design For Attitude Small UAV

2015 ◽  
Vol 4 (3) ◽  
pp. 219
Author(s):  
Samaneh Amini
Keyword(s):  
Attitude Control ◽  
Controller Design ◽  
Sliding Mode ◽  
External Disturbance ◽  
Sliding Mode Controller ◽  
Attitude Control System ◽  
Strongly Coupled ◽  
Adaptive Sliding Mode ◽  
Adaptive Sliding Mode Controller ◽  
Aerial Vehicle

The dynamic of Unmanned Aerial Vehicle (UAV) is nonlinear, strongly coupled, multi-input multi-output (MIMO), and subject to uncertainties and external disturbances.  In this paper, an adaptive sliding mode controller (ASMC) is integrated to design the attitude control system for an inner loop fixed wing UAV. In the proposed scheme, sliding mode control law parameters due to uncertainty are assumed to be unknown and are estimated via adaptation laws. The synthesis of the adaptation laws is based on the positivity and Lyapunov design principle. Navigation outer loop parameters are regulated via PID controllers. Simulation results indicate that the proposed controller design can stabilize the nonlinear system, and it is robust to parametric model uncertainties and external disturbance.

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