2022
DOI: 10.1002/rnc.6046
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Robust discrete‐time fractional‐order control for an unmanned aerial vehicle based on disturbance observer

Abstract: In this article, a robust discrete-time fractional-order tracking control scheme based on a discrete-time disturbance observer (DTDO) is proposed for an unmanned aerial vehicle (UAV) system in the presence of unknown bounded variation disturbances. A DTDO is first constructed to estimate the unknown bounded disturbance. On the basis of the output of the DTDO and the discrete-time fractional-order theories, a robust discrete-time fractional-order control scheme is then designed by using the backstepping control… Show more

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Cited by 8 publications
(1 citation statement)
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“…In [30], a refined fault-tolerant tracking control of fixed-wing UAVs based on FOC paired with an interval type-2 fuzzy neural network under event-triggered communication was developed to decrease communication overloads. The authors in [31] proposed a robust discrete-time FOC for UAV systems using the backstepping control technique to guarantee the stability of the closedloop system. In further examples, the authors in [32] designed an event-triggered FOC with sliding mode control quadrotor UAVs to ensure the altitude and position tracking of the desired dynamics.…”
Section: Modeling and Control Of Uavsmentioning
confidence: 99%
“…In [30], a refined fault-tolerant tracking control of fixed-wing UAVs based on FOC paired with an interval type-2 fuzzy neural network under event-triggered communication was developed to decrease communication overloads. The authors in [31] proposed a robust discrete-time FOC for UAV systems using the backstepping control technique to guarantee the stability of the closedloop system. In further examples, the authors in [32] designed an event-triggered FOC with sliding mode control quadrotor UAVs to ensure the altitude and position tracking of the desired dynamics.…”
Section: Modeling and Control Of Uavsmentioning
confidence: 99%