2017
DOI: 10.1134/s0005117917070049
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Adaptive sliding-mode controller based on the “Super-Twist” state observer for control of the Stewart platform

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Cited by 14 publications
(5 citation statements)
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“…(6), (7), and (10), expressed in Section 3, the unit screw iu $ of each joint in the absolute coordinate system, which consists of position 0 i r and posture i e , could be obtained via an iterative procedure. And the solved kinematic parameters, which are expressed in screw form, can be directly employed in establishing the static equations based on Equation (26).…”
Section: Statics Of a Series Kinematic Chainmentioning
confidence: 99%
See 1 more Smart Citation
“…(6), (7), and (10), expressed in Section 3, the unit screw iu $ of each joint in the absolute coordinate system, which consists of position 0 i r and posture i e , could be obtained via an iterative procedure. And the solved kinematic parameters, which are expressed in screw form, can be directly employed in establishing the static equations based on Equation (26).…”
Section: Statics Of a Series Kinematic Chainmentioning
confidence: 99%
“…Galvan-Pozos et al, developed an energy harvester from waves using the Gough-Stewart platform [5]. There are other design concepts, such as floating marine platforms [6], the position-control mechanism of the secondary mirror in radio telescopes [7], and material handling and characterization machines [8]. The kinematics and statics of the Gough-Stewart platform have become crucial areas of research due to its application potential.…”
Section: Introductionmentioning
confidence: 99%
“…The theory of graphs is also used in the study of the behavior [37] and dynamic analysis [38] of a Stewart platform. Optimization problems for the Stewart platforms are solved in [39][40][41][42][43][44][45][46].…”
Section: Introductionmentioning
confidence: 99%
“…It is widely used in the field of robot control; however, the inevitable chattering effect that occurs in the process of a switching sliding surface influences the control performance of the system [19]. [20] proposed an adaptive sliding-mode controller based on the "Super-Twist" state observer (ASMC), the ASMC can provide a highly efficient control of nonlinear systems in the presence of nonmodeled dynamics and external perturbations. [21] proposed a sliding mode adaptive neural network tracking controller (SMANNC), the SMANNC can achieve a stable closed-loop system for the trajectory-tracking control of a mobile robot with unknown nonlinear dynamics.…”
Section: Introductionmentioning
confidence: 99%