2014
DOI: 10.14355/ijace.2014.0301.03
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Adaptive Sliding Mode Control for Quadrotor Aerial Robot with Ι Type Configuration

Abstract: This paper presents an adaptive sliding mode control for trajectory tracking of quad rotor aerial robot with I type configuration. A continuous adaptive dynamic vector is used to eliminate the chattering phenomenon in the sliding mode control and the asymptotic stability is achieved. On the base of a nonlinear dynamic model of the quad rotor with I configuration, adaptive sliding mode nonlinear controller is synthesized for the purpose of stabilization and trajectory tracking of quad rotor. In order to validat… Show more

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Cited by 12 publications
(2 citation statements)
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“…The parameters for simulation of a sample cooperative Quadrotors model are set as (Wang et al, 2014), m = 1:77kg, d = 0:225m, I x = 2:16 3 10 À3 kg:m 2 , I y = 2:16 3 10 À3 kg:m 2 , I z = 0:33 3 10 À3 kg:m 2 , g = 9:81 m s 2 , J r = 3:357 3 10 À5 kg:m 2 , b = 2:98 3 10 À6 , l = 0:42m, y Mxy y F = 1 400…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The parameters for simulation of a sample cooperative Quadrotors model are set as (Wang et al, 2014), m = 1:77kg, d = 0:225m, I x = 2:16 3 10 À3 kg:m 2 , I y = 2:16 3 10 À3 kg:m 2 , I z = 0:33 3 10 À3 kg:m 2 , g = 9:81 m s 2 , J r = 3:357 3 10 À5 kg:m 2 , b = 2:98 3 10 À6 , l = 0:42m, y Mxy y F = 1 400…”
Section: Simulation Resultsmentioning
confidence: 99%
“…We now report on the numerical simulation we have carried out to accredit the efficiency of the proposed control scheme. The parameters for simulation of a sample cooperative Quadrotors model are set as (Wang et al, 2014), To compare the effectiveness of proposed cooperative controller on system performance and the reduced tracking errors two cases are considered, the first one is grasping, that is, immobilize the object from different initial conditions of each Quadrotor to point-to-point path planning. The second simulation considers grasp and then manipulation for separately described predefined trajectory tracking.…”
Section: Simulation Resultsmentioning
confidence: 99%