2021 20th International Conference on Advanced Robotics (ICAR) 2021
DOI: 10.1109/icar53236.2021.9659433
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Sliding Mode Control with Adaptive Gain of Quadrotor with Rigid Manipulator

Abstract: HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labor… Show more

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Cited by 5 publications
(5 citation statements)
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References 32 publications
(29 reference statements)
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“…The solution presented here is based on super-twisting sliding mode control with adaptive gain. It is a continuation of previous study on sliding mode control with adaptive gain [1]. The effectiveness of the controller and its robustness against perturbations are verified and analyzed using numerical simulation.…”
mentioning
confidence: 83%
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“…The solution presented here is based on super-twisting sliding mode control with adaptive gain. It is a continuation of previous study on sliding mode control with adaptive gain [1]. The effectiveness of the controller and its robustness against perturbations are verified and analyzed using numerical simulation.…”
mentioning
confidence: 83%
“…Fig. 5 shows the end effector motion tracking comparison between PID (yellow), STWCA (green) with respect to the desired trajectory (blue) in the nominal case (no perturbation, no uncertainty) 1 . It shows the ability of STWCA control to force the closed-loop system trajectory close to the desired trajectory.…”
Section: Simulationsmentioning
confidence: 99%
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“…For the second step, numerous control algorithms have been used to reject disturbance widely including sliding mode control (SMC) [5], adaptive control [6], impedance control [7] and intelligent control [8]. However, the above methods are all integer-order, which is challenging to integrate the theory model with experimental result effectively compared with the fractional order (FO) calculus.…”
Section: Introductionmentioning
confidence: 99%
“…To further improve the response speed and disturbance immunity of the system, some modern control theories such as fuzzy control, adaptive control [9], self-turbulence control [10], neural networks [11], and sliding mode control [12,13] have been successfully applied to the speed control of PMSM. Among them, sliding mode control (SMC) is widely used because of its robustness, fast dynamic response, and easy implementation [14].…”
Section: Introductionmentioning
confidence: 99%