2013 8th International Conference on Electrical and Electronics Engineering (ELECO) 2013
DOI: 10.1109/eleco.2013.6713892
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Configuration space control of a parallel Delta robot with a neural network based inverse kinematics

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Cited by 14 publications
(9 citation statements)
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“…For the dynamics (8) acceleration control with asymptotic convergence [29] can be applied as control strategy, similarly to the control presented in [30]. Disturbance acting on each joint can be estimated by disturbance observer [31] using first order low pass filter and estimated velocity and reference current information.…”
Section: A Independent Joint Controlmentioning
confidence: 99%
“…For the dynamics (8) acceleration control with asymptotic convergence [29] can be applied as control strategy, similarly to the control presented in [30]. Disturbance acting on each joint can be estimated by disturbance observer [31] using first order low pass filter and estimated velocity and reference current information.…”
Section: A Independent Joint Controlmentioning
confidence: 99%
“…1, the forward problem is simplified as the problem that knowing three vertices and the length of the edges to obtain the fourth vertex coordinate (Qiang, 2008;Uzunovic, 2013;Xu, 2012). To get the direction vector n EF of the vector EF, utilize the vector equation as in (1).…”
Section: Forward and Inverse Kinematics Of Parallel Mechanismmentioning
confidence: 99%
“…[12]. One of the recently introduced inverse kinematics algorithms like quadratic minimization [13] and [17] delivers robust and efficient inverse kinematics solutions .Masayuki Shimizu proposed an analytical methodology of inverse kinematic solution for 7 DOF manipulators with joint limits. This method focuses on finding the inverse kinematics solutions where the joint movements are constrained [16].…”
Section: IVmentioning
confidence: 99%