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An Intelligent Compensation Through B-Spline Neural Network for a Delta Parallel Robot
Acte de colloque   Open Access

An Intelligent Compensation Through B-Spline Neural Network for a Delta Parallel Robot

Jonatan Martín Escorcia-Hernández, Hipólito Aguilar-Sierra, Omar Aguilar-Mejía, Ahmed Chemori et José Humbérto Arroyo-Núñez
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), pp.361-366
CoDIT 2019 - 6th International Conference on Control, Decision and Information Technologies (Paris, France, 23/04/2019–26/04/2019)
2019

Résumé

Learning systems Trajectory tracking Delta Parallel Robot
In this paper a PD controller with intelligent compensation is used to solve the problem of tracking trajectories for a Delta Parallel Robot with three degrees of freedom. This controller uses an artificial B-Spline neural network as a feedforward compensation term. To evaluate the proposed controller performance some numerical simulations under two different scenarios have been carried out in order to know its effectiveness respect to a simple PD controller.

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