2018
DOI: 10.1109/access.2018.2845134
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Extended State Observer-Based Robust Backstepping Sliding Mode Control for a Small-Size Helicopter

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Cited by 26 publications
(25 citation statements)
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“…(ii) We devise a robust backstepping TTC algorithm to achieve the tracking control task in the presence of lumped disturbances and control input saturation. This contribution is clearly superior to the reduced-order observer based control approaches presented in [30][31][32][33][34][35][36][37][38][39][40][41][42], which can only achieve a partial solution of the robust adaptive saturated tracking control problem. To overcome the problem of "explosion of complexity", which is generally problematic in integrator backstepping control, dynamic filters (also referred to as linear tracking differentiator [49]) are applied to compute the derivative of virtual control signals.…”
Section: Introductionmentioning
confidence: 95%
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“…(ii) We devise a robust backstepping TTC algorithm to achieve the tracking control task in the presence of lumped disturbances and control input saturation. This contribution is clearly superior to the reduced-order observer based control approaches presented in [30][31][32][33][34][35][36][37][38][39][40][41][42], which can only achieve a partial solution of the robust adaptive saturated tracking control problem. To overcome the problem of "explosion of complexity", which is generally problematic in integrator backstepping control, dynamic filters (also referred to as linear tracking differentiator [49]) are applied to compute the derivative of virtual control signals.…”
Section: Introductionmentioning
confidence: 95%
“…Consider the quadrotor dynamics as described in Equation 2, for the given sufficiently smooth trajectory command P d and heading angle ψ d , if the controller gains k i (i = 1, ..., 6) and the observer bandwidth parameters ω 1 , ω 2 are chosen such that the matrix Π defined in the following is positive definite, then the ESO-based saturated trajectory tracking controller, including the virtual controllers (25), (33), (38), and (46) and the applied controllers (35) and (46), can guarantee the ultimate boundedness of all signals in the closed-loop and make the tracking errors arbitrarily small.…”
Section: Closed-loop System's Stability Analysismentioning
confidence: 99%
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“…As the output states are available, the same desired states (24) designed by the backstepping control law are used in (35). The estimated control input (35) is applied to (23), and the closed-loop tracking error dynamics can be obtained aṡ…”
Section: Analysis Of Closed-loop Stabilitymentioning
confidence: 99%
“…Thus, an extended state observer (ESO) has been developed to estimate full state and disturbance. Various ESO-based control methods have been implemented for quadrotors [32]- [35]. Only external disturbances or partial unmodeled dynamics, such as the gyroscopic effect are considered as the disturbance in attitude dynamics.…”
Section: Introductionmentioning
confidence: 99%