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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, José Humberto Arroyo Núñez

Year
2019
Citations
15

Abstract

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.

Keywords

Computer scienceControl theory (sociology)Compensation (psychology)Artificial neural networkFeed forwardController (irrigation)Feedforward neural networkRobotParallel manipulatorControl engineering

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