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

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

Delta并联机器人B样条神经网络智能补偿

DOI:
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发表时间:
2019
期刊:
International Conference on Control, Decision and Information Technologies
影响因子:
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通讯作者:
J. H. Arroyo
J. H. Arroyo
中科院分区:
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文献类型:
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作者:
J. M. Escorcia;H. Aguilar;O. Aguilar;A. Chemori;J. H. Arroyo

文献摘要

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采用带智能补偿的PD控制器,解决了Delta三自由度并联机器人的轨迹跟踪问题。该控制器采用人工B-Spline神经网络作为前馈补偿项。为了评估所提出的控制器的性能,在两种不同的场景下进行了数值仿真,以了解其相对于简单PD控制器的有效性。
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.