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Position-Dependent Snap Feedforward: A Gaussian Process Framework

Authors: van Haren, Max; Poot, Maurice; Portegies, Jim; Oomen, Tom;

Position-Dependent Snap Feedforward: A Gaussian Process Framework

Abstract

Mechatronic systems have increasingly high performance requirements for motion control. The low-frequency contribution of the flexible dynamics, i.e. the compliance, should be compensated for by means of snap feedforward to achieve high accuracy. Position-dependent compliance, which often occurs in motion systems, requires the snap feedforward parameter to be modeled as a function of position. Position-dependent compliance is compensated for by using a Gaussian process to model the snap feedforward parameter as a continuous function of position. A simulation of a flexible beam shows that a significant performance increase is achieved when using the Gaussian process snap feedforward parameter to compensate for position-dependent compliance.

To appear in: 2022 IEEE American Control Conference. arXiv admin note: text overlap with arXiv:2201.07511

Country
Netherlands
Keywords

Gaussian processes, Systems and Control (eess.SY), Mechatronics, Electrical Engineering and Systems Science - Systems and Control, Dynamics, Feedforward systems, FOS: Electrical engineering, electronic engineering, information engineering, Training, MIMO communication, Gaussian Processes, Snap Feedforward, Motion control

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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