2019
DOI: 10.1016/j.jfranklin.2019.03.003
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Finite time position and heading tracking control of coaxial octorotor based on extended inverse multi-quadratic radial basis function network and external disturbance observer

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Cited by 22 publications
(8 citation statements)
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“…In tracking control of UGVs, the platforms are always subject to different internal and external disturbances. For this purpose, a robust model predictive control is proposed 121 to suppress the effects of uncertainties in [37], a disturbance 122 observers (DO) are used to estimate the external disturbances 123 and uncertainties [38,39]. A robust tracking scheme DO that 124 handles slip-skid is presented in [40].…”
Section: A Related Workmentioning
confidence: 99%
“…In tracking control of UGVs, the platforms are always subject to different internal and external disturbances. For this purpose, a robust model predictive control is proposed 121 to suppress the effects of uncertainties in [37], a disturbance 122 observers (DO) are used to estimate the external disturbances 123 and uncertainties [38,39]. A robust tracking scheme DO that 124 handles slip-skid is presented in [40].…”
Section: A Related Workmentioning
confidence: 99%
“…This is due to the fact that isolated rotors are assumed in most of the cases, making the model inversion straightforward. However this assumption becomes limiting for some configurations where aerodynamic interference between rotors is quite strong like the coaxial case, as in the case of [10] where the control allocation for the octorotor is performed without taking into account the coaxial interaction which is considered as part of unmodelled dynamics. These are estimated using an extended inverse multi-quadratic radial basis function neural network that needs to be trained offline.…”
Section: Related Workmentioning
confidence: 99%
“…This compensator do not require a priori information about the saturation errors and is simple to adjust the parameter, thus offsetting the effect of the actual saturation error and ensuring that the system consumes less energy by suppressing unreasonably high gain inputs based on the bounded ideal control inputs. (ii) Compared with the existing scheme of TSMC combined with nonlinear disturbances observers, 29,30 this paper employs not only the observer to compensate for disturbances, but also the adaptive method to compensate for the unknown upper bound of the observer error. The robustness to unmodeled dynamics and external disturbances of the system is further enhanced and the chattering caused by switching control gains is further attenuated.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the existing scheme of TSMC combined with nonlinear disturbances observers, 29,30 this paper employs not only the observer to compensate for disturbances, but also the adaptive method to compensate for the unknown upper bound of the observer error. The robustness to unmodeled dynamics and external disturbances of the system is further enhanced and the chattering caused by switching control gains is further attenuated.…”
Section: Introductionmentioning
confidence: 99%