2019
DOI: 10.3390/electronics8070760
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Abstract: This paper introduces a robust dynamic sliding mode control algorithm using a nonlinear disturbance observer for system dynamics. The proposed method is applied to provide a rapid adaptation and strictly robust performance for the attitude and altitude control of unmanned aerial vehicles (UAVs). The procedure of the proposed method consists of two stages. First, a nonlinear disturbance observer is applied to estimate the exogenous perturbation. Second, a robust dynamic sliding mode controller integrated with t… Show more

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Cited by 20 publications
(8 citation statements)
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References 49 publications
(53 reference statements)
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“…All these proposed methods aim to reduce chattering phenomena. The one with the simplest algorithm and the easiest experimentally is the STA method [50,51]. This method was applied in several fields, for example, electronic and electrical control.…”
Section: Third-order Sliding Mode Controlmentioning
confidence: 99%
“…All these proposed methods aim to reduce chattering phenomena. The one with the simplest algorithm and the easiest experimentally is the STA method [50,51]. This method was applied in several fields, for example, electronic and electrical control.…”
Section: Third-order Sliding Mode Controlmentioning
confidence: 99%
“…With a simple procedure of construction and strict robustness to counteract uncertainties/disturbances, the sliding mode control (SMC) and extended SMC have been largely developed in the UAV control system, such as second-order sliding mode control [ 13 , 14 , 15 , 16 ], backstepping and integral SMC [ 17 , 18 ], and adaptive SMC [ 19 , 20 ]. It is well-known as a robust control in the SMC community, the nonsingular terminal SMC (NSTSMC) is an interesting technique [ 21 ], because the algorithm ensures both finite-time stability of sliding surface and the convergence of system states to desired trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…While designing the controller for quadrotor vehicle, the major challenge is to deal with the complexity, un-stability and nonlinearity of the dynamical model of the quadrotor. Since, the dynamical model of quadrotor is extremely vulnerable to external disturbances [4], various control strategies have been investigated and proposed for a single quadrotor such as backstepping control [5], sliding mode control [6], proportional-integral derivative (PID) control [7], and linear quadratic regulator (LQR) control [8] etc. More challenging task is to deal with the swarm of drones and recently some methods are proposed such as containment control for multiple quadrotors [9] and leader-follower approach with robust observer-based control for dynamic trajectory tracking [10].…”
Section: Introductionmentioning
confidence: 99%